From b09061d9185a9b630839f635787581a197b2edff Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 12 Oct 2017 10:29:27 +0200
Subject: [PATCH 01/96] Set of scripts to extract and analyze benchmark data

hivetimeline.py displays a nice graph of which algo is run at which time. Takes a csv timeline file as input
extract.py allows to extract data from a set of xml files produced by lbsmaps and a set of timeline files
plotMem.py takes output of extract.py and plot memory usage
plotSpeedup.py takes output of extract.py and plot speedup
---
 extract.py      |  65 ++++++++++++++++++
 hivetimeline.py | 172 ++++++++++++++++++++++++++++++++++++++++++++++++
 plotMem.py      |  28 ++++++++
 plotSpeedup.py  |  30 +++++++++
 4 files changed, 295 insertions(+)
 create mode 100644 extract.py
 create mode 100644 hivetimeline.py
 create mode 100644 plotMem.py
 create mode 100644 plotSpeedup.py

diff --git a/extract.py b/extract.py
new file mode 100644
index 00000000..7538ebd4
--- /dev/null
+++ b/extract.py
@@ -0,0 +1,65 @@
+import sys, os
+
+sequences = ["BrunelSequencer", "PhysicsSeq", "Reco", "RecoDecodingSeq", "RecoTrFastSeq"]
+
+def extractMem(fileName):
+    f = open(fileName, 'r')
+    maxi = 0
+    for l in f.readlines():
+        if not l.startswith('<process'): continue
+        rss = int(l.split()[3][5:-1])/1000.0
+        if rss > maxi:
+            maxi = rss
+    f.close()
+    return maxi
+
+def extractTime(fileName):
+    f = open(fileName, 'r')
+    min = 100000000000000000000000000
+    max = -1
+    for l in f.readlines()[1:]:
+        s, e, a, t, sl, ne = l.split()
+        #if a not in sequences:
+        if int(s) < min:
+            min = int(s)
+        if int(e) > max:
+            max = int(e)
+    f.close()
+    return (max-min)/1000000000.0
+
+resTime = {}
+resMem = {}
+
+prevNbEvents = -1
+for d in sys.argv[1:]:
+    for fileName in os.listdir(d):
+        if fileName[0:10] == 'MiniBrunel':
+            if fileName[-3:] == 'csv' or fileName[-3:] == 'xml' :
+                print 'using file %s/%s' % (d, fileName)
+                base, cmtconfig, threads, jobs, events, runNb, job, ext = fileName.split('.')
+                res = resTime if ext == 'csv' else resMem
+                nbEvents = int(events[:-1])
+                if prevNbEvents < 0:
+                    prevNbEvents = nbEvents
+                else:
+                    if prevNbEvents != nbEvents:
+                        print 'Inconsistent nb of events in the different files. This is not supported. Giving up'
+                        sys.exit(1)
+                key = (int(threads[:-1]), int(jobs[:-1]))
+                run = int(runNb)
+                if cmtconfig not in res:
+                    res[cmtconfig] = {}
+                if key not in res[cmtconfig]:
+                    res[cmtconfig][key] = [0]*(run+1)
+                if len(res[cmtconfig][key]) < run+1:
+                    res[cmtconfig][key] += [0] * (run+1-len(res[cmtconfig][key]))
+                if ext == 'csv':
+                    value = extractTime("%s/%s" % (d, fileName))
+                    res[cmtconfig][key][run] = max(res[cmtconfig][key][run], value) # time taken is max of different jobs
+                else:
+                    value = extractMem("%s/%s" % (d, fileName))
+                    res[cmtconfig][key][run] += value # mem taken is sum of different jobs
+
+f = open('extractedData', 'w')
+f.write(str((prevNbEvents, resTime, resMem)))
+f.close()
diff --git a/hivetimeline.py b/hivetimeline.py
new file mode 100644
index 00000000..7d4915e1
--- /dev/null
+++ b/hivetimeline.py
@@ -0,0 +1,172 @@
+#!/usr/bin/env python
+"""Plot timeline from TimelineSvc"""
+
+__author__ = "Frank Winklmeier"
+
+import sys
+import os
+import re
+import argparse
+import operator
+from collections import defaultdict
+
+algcolors = []
+evtcolors = []
+
+# Attributes will be added in read()
+class Data:
+   pass
+
+def read(f,regex='.*'):
+   data = []
+   regex = re.compile(regex)
+   for l in open(f,'r'):
+      if l.startswith('#'):  # e.g. #start end algorithm thread slot event
+         names = l.lstrip('#').split()   
+         continue
+      d = Data()
+      for i,f in enumerate(l.split()):
+         setattr(d, names[i], int(f) if f.isdigit() else f)
+      data.append(d)
+
+   return data
+
+def findEvents(data):
+   """Find event start/stop times"""
+
+   t = defaultdict(lambda : [sys.maxint, 0])  # start,stop
+   for d in data:
+      if d.start<t[d.event][0]: t[d.event][0] = d.start
+      if d.end>t[d.event][1]: t[d.event][1] = d.end
+      
+   return t
+
+
+def setPalette(nevts):
+   global algcolors, evtcolors
+   
+   from ROOT import TColor
+   algcolors = range(2,10)+[20,28,29,30,33,38,40]+range(41,50)
+   evtcolors = [TColor.GetColor(g,g,g) for g in range(20,255,(255-20)/nevts)]
+
+
+def plot(data, showThreads=True, batch=False):
+   import ROOT
+
+   tmin = min(f.start for f in data)
+   tmax = max(f.end for f in data)
+   slots = 1+max(f.slot for f in data)
+   threads = sorted(list(set(f.thread for f in data)))
+   threadid = dict((k,v) for v,k in enumerate(threads))  # map thread : id   
+   ymax = len(threads) if showThreads else slots
+   
+   c = ROOT.TCanvas('timeline','Timeline',1200,500)
+   c.SetLeftMargin(0.05)
+   c.SetRightMargin(0.2)
+   c.SetTopMargin(0.1)
+   c.coord = ROOT.TH2I('coord',';Time',100,0,tmax-tmin,ymax,0,ymax)
+   c.coord.GetYaxis().SetTitle(('Thread' if showThreads else 'Slot'))
+   c.coord.GetYaxis().SetTitleOffset(0.6)
+   c.coord.SetStats(False)
+   c.coord.GetYaxis().SetNdivisions(ymax)
+   
+   c.Draw()
+   c.coord.Draw()
+
+   c.lines = []
+   colors = {}
+   setPalette(ymax)
+   mycolors = algcolors 
+   for d in data:
+      y = (threadid[d.thread] if showThreads else d.slot) + 0.4
+      alg = d.algorithm
+      if not alg in colors and len(mycolors)>0:         
+         colors[alg] = mycolors.pop(0)
+         if len(mycolors)==0:
+            print "Too many algorithm to show"
+
+      if alg in colors:
+         # Alg
+         l = ROOT.TLine(d.start-tmin,y,d.end-tmin,y)         
+         l.SetLineColor(colors[alg])
+         l.SetLineWidth(30)
+
+         # Event
+         l2 = ROOT.TLine(d.start-tmin,y+0.3,d.end-tmin,y+0.3)
+         l2.SetLineColor(evtcolors[d.event % ymax])
+         l2.SetLineWidth(10)
+         c.lines += [l,l2]
+
+         l2.Draw()
+         l.Draw()
+
+   # Gloabl event timeline
+   tevt = findEvents(data)
+   for k,v in tevt.iteritems():
+      m = k % ymax # event modulo
+      y = ymax+0.06*m+0.05
+      l = ROOT.TLine(v[0]-tmin,y,v[1]-tmin,y)
+      l.SetLineColor(evtcolors[m])
+      l.SetLineWidth(5)
+      c.lines += [l]
+      l.Draw()
+      
+   # Alg legend
+   c.leg = ROOT.TLegend(0.8,0.4,0.98,0.9)
+   for alg,cl in sorted(colors.iteritems(),key=operator.itemgetter(1)):
+      e = c.leg.AddEntry('',alg,'F')
+      e.SetLineColor(cl)
+      e.SetFillColor(cl)
+      e.SetFillStyle(1001)
+
+   # Event legend
+   for cl in range(ymax):
+      l = ROOT.TLine()
+      c.lines.append(l)
+      l.SetLineWidth(10)
+      l.SetLineColor(evtcolors[cl])
+      l.DrawLineNDC(0.807+0.02*cl,0.37,0.807+0.02*(cl+1),0.37)
+
+   c.t1 = ROOT.TText(0.807,0.314,'Events')
+   c.t1.SetNDC()
+   c.t1.SetTextFont(42)
+   c.t1.SetTextSize(0.04)
+   c.t1.Draw()
+
+   ROOT.TLine()
+   c.leg.Draw()
+   c.Update()
+   if not batch: raw_input()
+   return c
+
+
+def main():
+   parser = argparse.ArgumentParser(description=__doc__)
+
+   parser.add_argument('timeline', nargs=1,
+                       help='timeline file')
+
+   parser.add_argument('-s', '--select', default='.*',
+                       help='Regular expression to filter algorithms')
+
+   parser.add_argument('-b', '--batch', action='store_true', default=False,
+                       help='Do not wait for user input')
+
+   parser.add_argument('--slots', action='store_true', default=False,
+                       help='Show slots instead of threads (leads to overlaps!)')
+
+   parser.add_argument('-p', '--print', dest='outfile' , nargs='?', 
+                       const='timeline.png',
+                       help='Save to FILE [%(const)s]')
+
+   args = parser.parse_args()
+
+   data = read(args.timeline[0], args.select)
+   c = plot(data, not args.slots, args.batch)
+   if args.outfile:
+      c.SaveAs(args.outfile)
+   
+   return 0
+
+if __name__ == '__main__':
+   sys.exit(main())
diff --git a/plotMem.py b/plotMem.py
new file mode 100644
index 00000000..ed30a286
--- /dev/null
+++ b/plotMem.py
@@ -0,0 +1,28 @@
+import sys, os, numpy
+
+nbEvents, times, mems = eval(open(sys.argv[1]).read())
+
+def computeMeans(res):
+    means = {}
+    for t in res:
+        means[t] = {}
+        for n in res[t]:
+            means[t][n] = numpy.mean(res[t][n])
+    return means
+
+means = computeMeans(mems)
+
+import matplotlib.pyplot as plt
+plt.xlabel('Nb cores/threads')
+plt.ylabel('Max resident memory usage (MB)')
+plt.title('Memory usage on multi-cores')
+
+for cmtconfig in means:
+    nbJobsSet = set([nj for (nt,nj) in means[cmtconfig].keys()])
+    print cmtconfig, means[cmtconfig].keys(), nbJobsSet
+    for nbJobs in sorted(list(nbJobsSet)):
+        keys = sorted([(nt,nj) for (nt,nj) in means[cmtconfig].keys() if nj == nbJobs])
+        plt.plot([nt*nj for (nt,nj) in keys], [means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d jobs' % (nbJobs))
+
+plt.legend(loc=4)
+plt.show()
diff --git a/plotSpeedup.py b/plotSpeedup.py
new file mode 100644
index 00000000..39ad2c1a
--- /dev/null
+++ b/plotSpeedup.py
@@ -0,0 +1,30 @@
+import sys, os, numpy
+
+nbEvents, times, mems = eval(open(sys.argv[1]).read())
+
+def computeMeans(res):
+    means = {}
+    for t in res:
+        means[t] = {}
+        for n in res[t]:
+            means[t][n] = numpy.mean(res[t][n])
+    return means
+
+means = computeMeans(times)
+        
+import matplotlib.pyplot as plt
+plt.xlabel('Nb cores')
+plt.ylabel('Events / s')
+plt.title('Speed of HLT1 MiniBrunel on 20 physical cores (40 virtual)')
+
+for cmtconfig in means:
+    nbJobsSet = set([nj for (nt,nj) in means[cmtconfig].keys()])
+    print cmtconfig, means[cmtconfig].keys(), nbJobsSet
+    for nbJobs in sorted(list(nbJobsSet)):
+        keys = sorted([(nt,nj) for (nt,nj) in means[cmtconfig].keys() if nj == nbJobs])
+        plt.scatter([nt*nj for (nt,nj) in keys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d jobs' % (nbJobs))
+
+plt.legend(loc=4)
+plt.show()
+
+
-- 
GitLab


From eacf17ae3dd285e8b7e510f9fb824e61a2fe251f Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 12 Oct 2017 10:33:13 +0200
Subject: [PATCH 02/96] Added script for measuring memory footprint

Courtesy of Benjamin Couturier
---
 lbsmaps | Bin 0 -> 2629882 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100755 lbsmaps

diff --git a/lbsmaps b/lbsmaps
new file mode 100755
index 0000000000000000000000000000000000000000..2e6cce7005fc86c00eab0268dc2ea2e5e7bf9fd8
GIT binary patch
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literal 0
HcmV?d00001

-- 
GitLab


From eddfc625375b133092a6861c212017e21e90416b Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 12 Oct 2017 10:34:59 +0200
Subject: [PATCH 03/96] Added script to run benchmarks

Allows to run MiniBrunel with various number of jobs and threads.
MiniBrunel config is hardcoded in the script for the moment !
---
 runTest.py | 85 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 runTest.py

diff --git a/runTest.py b/runTest.py
new file mode 100644
index 00000000..5b1aab7b
--- /dev/null
+++ b/runTest.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python
+"""Runs MiniBrunel with a set of parameters"""
+
+__author__ = "Sebastien Ponce"
+
+import re
+import os
+import sys
+import argparse
+import subprocess
+import tempfile
+
+def prepareInput(inputFileName, outputFileName, threads, events):
+    '''create new input file from a base and options'''
+    # write content to temp file
+    fd, configFileName = tempfile.mkstemp(suffix=".py")
+    outputFile = open(configFileName, 'w')
+    outputFile.write('from Configurables import MiniBrunel\n')
+    outputFile.write('mbrunel = MiniBrunel()\n')
+    outputFile.write('mbrunel.EvtMax = %d\n' % events)
+    outputFile.write('mbrunel.MaxAlgosInFlight = %d\n' % threads)
+    outputFile.write('mbrunel.ThreadPoolSize = %d\n' % threads)
+    outputFile.write('mbrunel.EventSlots = %d\n' % threads)
+    outputFile.write('mbrunel.HLT1Only = True\n')
+    outputFile.write('mbrunel.EnableHive = True\n')
+    outputFile.write('mbrunel.HLT1Fitter = True\n')
+    outputFile.write('mbrunel.InputData = ["%s"]*%d\n' % (inputFileName, threads))
+    outputFile.write('mbrunel.TimelineFile = "%s.csv"\n' % outputFileName)
+    outputFile.write('mbrunel.RunFastForwardFitter = False\n')
+    outputFile.close()
+    # return temp file name
+    return configFileName    
+
+def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs):
+    '''Run a test with the given options'''
+    # start the different processes in parallel
+    processes = []
+    for jobNb in range(nbjobs):
+        # create inputFile
+        outputFileName = baseOutputFileName % jobNb
+        configFileName = prepareInput(inputFileName, outputFileName, threads, threads*events)
+        # open log file
+        outputFile = open("%s.log" % outputFileName, 'w')
+        # run the test
+        processes.append((subprocess.Popen(["lbsmaps", "-o", "%s.xml" % outputFileName, "Brunel/build.%s/run" % os.environ['CMTCONFIG'], "gaudirun.py", configFileName], stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
+    # wait for all processes and massage output
+    for (process, outputFile, configFileName) in processes:
+        process.wait()
+        outputFile.close()
+        # cleanup inputFile
+        os.remove(configFileName)
+
+def main():
+    '''Main method : parses options and calls runTest'''
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('-t', '--threads', type=str, default='1',
+                        help='list of nb of threads per job to run the test for, comma separated')
+    parser.add_argument('-j', '--jobs', type=str, default='1',
+                        help='list of nb of jobs to run the test for, comma separated')
+    parser.add_argument('-m', '--maxthreads', type=int, default='64',
+                        help='maximum number of threads allowed. This allows to ignore some combinations of -t and -j that would lead to too many concurrent threads.')
+    parser.add_argument('-n', '--events', default=1000, type=int,
+                        help='nb of events to process per thread')
+    parser.add_argument('-e', '--firstevent', default=0, type=int,
+                        help='nb of first event, default is 0')
+    parser.add_argument('-r', '--runs', default=1, type=int,
+                        help='nb of runs of the test, default is 1')
+    parser.add_argument('-f', '--firstrun', default=0, type=int,
+                        help='nb of first run, default is 0')
+    parser.add_argument('inputFileName', type=str,
+                        help='Input file name. Needs to have enough events for feeding 1 thread. Then it will be reused')
+    args = parser.parse_args()
+    for nthreads in map(int,args.threads.split(',')):
+        for njobs in map(int,args.jobs.split(',')):
+            # check total number of threads
+            if nthreads * njobs > args.maxthreads:
+                continue
+            # run the test the specified number of times
+            for i in range(args.runs):
+                outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
+                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs)
+
+if __name__ == '__main__':
+    sys.exit(main())
+
-- 
GitLab


From 195d55a81a84d05a15402d24d22f166864ccbc47 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 12 Oct 2017 11:14:10 +0200
Subject: [PATCH 04/96] Added script to plot pie charts of algorithm usage

---
 plotAlgoUsage.py | 42 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 plotAlgoUsage.py

diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
new file mode 100644
index 00000000..af3ecb86
--- /dev/null
+++ b/plotAlgoUsage.py
@@ -0,0 +1,42 @@
+import sys
+import matplotlib.pyplot as plt
+
+def extractData(fileName, skipEvts=10):
+    f = open(fileName, 'r')
+    res = {}
+    evtset = set([])
+    for l in f.readlines()[1:]:
+        s, e, a, t, sl, ne = l.split()  #start end algorithm thread slot event
+        if a.find('Seq') >= 0 or a == 'Reco':
+            continue
+        evtset.add(ne)
+        s = int(s)
+        e = int(e)
+        if a not in res:
+            res[a] = 0
+        res[a] += e-s
+    f.close()
+    return len(evtset), res
+
+nbevts, data = extractData(sys.argv[1])
+print nbevts, data
+
+# cleanup data, by merging everything below 2%
+cdata = {}
+s = sum(data.values())
+other = 0
+for alg in data:
+    if data[alg] < s*0.02:
+        other += data[alg]
+    else:
+        cdata[alg] = data[alg]
+cdata['other'] = other
+
+# compute time spent per event
+throughput = 1000000000.0*nbevts/s
+
+plt.axes(aspect=1)
+plt.pie(cdata.values(), None, cdata.keys(), autopct='%1.1f%%', shadow=True, startangle=90)
+plt.title('Throughput : %.1f evts/s/thread' % throughput)
+#plt.title('Time Usage in MiniBrunel')
+plt.show()
-- 
GitLab


From 34930297f17101f9dc90c0ed6e9e7946be529ba0 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <Sebastien.Ponce@cern.ch>
Date: Mon, 16 Oct 2017 20:49:54 +0200
Subject: [PATCH 05/96] First attempt of hatching

---
 plotSpeedup.py | 55 ++++++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 49 insertions(+), 6 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index 39ad2c1a..77518801 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -13,18 +13,61 @@ def computeMeans(res):
 means = computeMeans(times)
         
 import matplotlib.pyplot as plt
+import matplotlib.cm as cm
 plt.xlabel('Nb cores')
 plt.ylabel('Events / s')
 plt.title('Speed of HLT1 MiniBrunel on 20 physical cores (40 virtual)')
+ax = plt.axes()
 
 for cmtconfig in means:
-    nbJobsSet = set([nj for (nt,nj) in means[cmtconfig].keys()])
-    print cmtconfig, means[cmtconfig].keys(), nbJobsSet
-    for nbJobs in sorted(list(nbJobsSet)):
-        keys = sorted([(nt,nj) for (nt,nj) in means[cmtconfig].keys() if nj == nbJobs])
-        plt.scatter([nt*nj for (nt,nj) in keys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d jobs' % (nbJobs))
+    nbThreadsSet = set([nt for (nt,nj) in means[cmtconfig].keys()])
+    nbThreadsSet = sorted(list(nbThreadsSet))
+    colors = cm.rainbow(numpy.linspace(0, 1, len(nbThreadsSet)))
+    # plot best perf envelop. We have to first compute the envelop, then add missing points for nice hatching
+    best = {}
+    for (nt,nj) in means[cmtconfig].keys():
+        par = nt*nj
+        if par not in best:
+            best[par] = ((nt,nj), nbEvents*nt*nj/means[cmtconfig][(nt,nj)])
+        else:
+            prevk, prevR = best[par]
+            if nbEvents*nt*nj/means[cmtconfig][(nt,nj)] > prevR:
+                best[par] = ((nt,nj), nbEvents*nt*nj/means[cmtconfig][(nt,nj)])
+    maxVal = best[1][1]
+    for parLevel in sorted(best.keys()):
+        if best[parLevel][1] < maxVal:
+            best[parLevel] = [best[parLevel][0], -1]
+        else:
+            maxVal = best[parLevel][1]
+    bestKeys = sorted([key for key, val in best.values()], key=lambda x:x[0]*x[1])
+    plt.plot([nt*nj for (nt,nj) in bestKeys if best[nt*nj][1] > 0], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in bestKeys if best[nt*nj][1] > 0], label='Best perf', color='black')
+    print best
+    print bestKeys
+    for n in range(len(bestKeys)-1):
+        key = bestKeys[n]
+        parLvl = key[0]*key[1]
+        if best[parLvl][1] < 0:
+            prevParLvl = reduce(lambda x,y:x*y, bestKeys[n-1])
+            nextParLvl = reduce(lambda x,y:x*y, bestKeys[n+1])
+            prevValue = best[prevParLvl][1]
+            nextValue = best[nextParLvl][1]
+            best[parLvl][1] = prevValue + (nextValue-prevValue)*(parLvl-prevParLvl)/(nextParLvl-prevParLvl)
+    # plot all dots
+    for n in range(len(nbThreadsSet)):
+        nbThreads = nbThreadsSet[n]
+        keys = sorted([(nt,nj) for (nt,nj) in means[cmtconfig].keys() if nt == nbThreads])
+        if nbThreads != 1:
+            plt.scatter([nt*nj for (nt,nj) in keys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d thr/job' % (nbThreads), color=colors[n])
+        else:
+            # and in particular the pure job case
+            plt.plot([nt*nj for (nt,nj) in keys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d thr/job' % (nbThreads), color=colors[n])
+            plt.fill_between([nt*nj for (nt,nj) in bestKeys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys if nt == 1], [best[nt*nj][1] for (nt,nj) in bestKeys], facecolor="none", hatch='\\', linewidth=0.0)
+
+handles,labels = ax.get_legend_handles_labels()
+handles = [handles[1], handles[0]] + handles[2:]
+labels = [labels[1], labels[0]] + labels[2:]
+plt.legend(handles,labels,loc=2, ncol=2)
 
-plt.legend(loc=4)
 plt.show()
 
 
-- 
GitLab


From 4ff7e77bd18f3d7bdd9fc3637fd5dd72433de155 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <Sebastien.Ponce@cern.ch>
Date: Mon, 16 Oct 2017 22:34:11 +0200
Subject: [PATCH 06/96] Improved version for TDR plots

Better colors, better labels and hatching of the multi-threaded gain
---
 plotSpeedup.py | 170 +++++++++++++++++++++++++++++++++----------------
 1 file changed, 114 insertions(+), 56 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index 77518801..9a4246a3 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -1,7 +1,12 @@
-import sys, os, numpy
+import sys
+import numpy
+import matplotlib.pyplot as plt
+import matplotlib.cm as cm
+import matplotlib.patches as patches
 
 nbEvents, times, mems = eval(open(sys.argv[1]).read())
 
+# Extract data from input
 def computeMeans(res):
     means = {}
     for t in res:
@@ -11,62 +16,115 @@ def computeMeans(res):
     return means
 
 means = computeMeans(times)
-        
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-plt.xlabel('Nb cores')
-plt.ylabel('Events / s')
-plt.title('Speed of HLT1 MiniBrunel on 20 physical cores (40 virtual)')
-ax = plt.axes()
-
-for cmtconfig in means:
-    nbThreadsSet = set([nt for (nt,nj) in means[cmtconfig].keys()])
-    nbThreadsSet = sorted(list(nbThreadsSet))
-    colors = cm.rainbow(numpy.linspace(0, 1, len(nbThreadsSet)))
-    # plot best perf envelop. We have to first compute the envelop, then add missing points for nice hatching
-    best = {}
-    for (nt,nj) in means[cmtconfig].keys():
-        par = nt*nj
-        if par not in best:
-            best[par] = ((nt,nj), nbEvents*nt*nj/means[cmtconfig][(nt,nj)])
-        else:
-            prevk, prevR = best[par]
-            if nbEvents*nt*nj/means[cmtconfig][(nt,nj)] > prevR:
-                best[par] = ((nt,nj), nbEvents*nt*nj/means[cmtconfig][(nt,nj)])
-    maxVal = best[1][1]
-    for parLevel in sorted(best.keys()):
-        if best[parLevel][1] < maxVal:
-            best[parLevel] = [best[parLevel][0], -1]
-        else:
-            maxVal = best[parLevel][1]
-    bestKeys = sorted([key for key, val in best.values()], key=lambda x:x[0]*x[1])
-    plt.plot([nt*nj for (nt,nj) in bestKeys if best[nt*nj][1] > 0], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in bestKeys if best[nt*nj][1] > 0], label='Best perf', color='black')
-    print best
-    print bestKeys
-    for n in range(len(bestKeys)-1):
-        key = bestKeys[n]
-        parLvl = key[0]*key[1]
-        if best[parLvl][1] < 0:
-            prevParLvl = reduce(lambda x,y:x*y, bestKeys[n-1])
-            nextParLvl = reduce(lambda x,y:x*y, bestKeys[n+1])
-            prevValue = best[prevParLvl][1]
-            nextValue = best[nextParLvl][1]
-            best[parLvl][1] = prevValue + (nextValue-prevValue)*(parLvl-prevParLvl)/(nextParLvl-prevParLvl)
-    # plot all dots
-    for n in range(len(nbThreadsSet)):
-        nbThreads = nbThreadsSet[n]
-        keys = sorted([(nt,nj) for (nt,nj) in means[cmtconfig].keys() if nt == nbThreads])
-        if nbThreads != 1:
-            plt.scatter([nt*nj for (nt,nj) in keys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d thr/job' % (nbThreads), color=colors[n])
+if len(means.keys()) > 1:
+    print "Not supporting mixed CMTCONFIG, giving up"
+    sys.exit(-1)
+means = means[means.keys()[0]]
+
+def linExtrapolate(p1, p2, x):
+    '''given 2 points in x,y format and an x in between,
+       returns the linear extrapolation of the corresponding y value'''
+    dx = p2[0] - p1[0]
+    dy = p2[1] - p1[1]
+    return p1[1] + dy/dx*(x-p1[0])
+
+def extrapolate(points, x):
+    '''Given a set of points in (x,y) format, ordered in x,
+       and an x not in tthe set, returns an extrapolated value
+       for that x'''
+    if x > points[-1][0]:
+        return linExtrapolate(points[-2], points[-1], x)
+    else:
+        n = 0
+        while x > points[n][0]:
+            n += 1
+        return linExtrapolate(points[n], points[n+1], x)
+
+def extrapolatePoints(points, xs):
+    '''points must be a set of points in (x,y) format ordered by x
+       xs is a set of x locations also ordered by x
+       The functions returns a list of y positions that contains
+       the ones in points plus extrapolated values for the missing xs'''
+    points = dict(points)
+    res = []
+    for x in xs:
+        if x in points:
+            res.append(points[x])
         else:
-            # and in particular the pure job case
-            plt.plot([nt*nj for (nt,nj) in keys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d thr/job' % (nbThreads), color=colors[n])
-            plt.fill_between([nt*nj for (nt,nj) in bestKeys], [nbEvents*nt*nj/means[cmtconfig][(nt,nj)] for (nt,nj) in keys if nt == 1], [best[nt*nj][1] for (nt,nj) in bestKeys], facecolor="none", hatch='\\', linewidth=0.0)
-
-handles,labels = ax.get_legend_handles_labels()
-handles = [handles[1], handles[0]] + handles[2:]
-labels = [labels[1], labels[0]] + labels[2:]
-plt.legend(handles,labels,loc=2, ncol=2)
+            res.append(extrapolate(points, x))
+    return res
+
+def smoothEnvelop(xs, ys):
+    '''Smoothes an anvelop by removing points where
+       the value is too far from the linear extrapolation of the neighbours
+       Note that input points are given in 2 vectors of x and y
+       that must have the same len and xs must be sorted and with
+       no redundancy. The ys list will be modified situ'''
+    for n in range(1, len(xs)-1):
+        # if going up, we keep the point
+        if ys[n] > ys[n-1]:
+            continue
+        # compute extrapolation of previous and next point
+        d2x = xs[n+1]-xs[n-1]
+        d2y = ys[n+1]-ys[n-1]
+        dx = xs[n]-xs[n-1]
+        yexp = ys[n-1] + d2y/d2x*dx
+        if (ys[n]-yexp)/abs(d2y) < -0.4:
+            ys[n] = yexp
+
+def getEnvelop(points):
+    '''Computing top envelop of a scattered distribution
+       points must be a list of couples x,y
+       output is a pair : sorted lists of xs, sorted list of ys
+       drawing the top envelop'''
+    xSet = sorted(list(set([x for (x,y) in points])))
+    # compute first naive envelop
+    minY = min([y for (x,y) in points])
+    top = {x:minY for x in xSet}
+    for x,y in points:
+        if y > top[x]:
+            top[x] = y
+    xtop, ytop = map(list, zip(*sorted(top.items())))
+    # smooth it for "missing" points
+    smoothEnvelop(xtop, ytop)
+    # build
+    return xtop, ytop
+
+# compute full list of points to display from the raw values
+# each point is a couple x, y and lists are indexed by nbThreads
+points = {}
+for nt, nj in means:
+    if nt not in points:
+        points[nt] = []
+    points[nt].append((nt*nj, nbEvents*nt*nj/means[(nt,nj)]))
+
+# get envelop
+xenv, yenv = getEnvelop(sum(points.values(), []))
+mjline = extrapolatePoints(sorted(points[1]), xenv)
+
+# Setup colors 
+colors = dict(zip(xenv, cm.rainbow(numpy.linspace(0, 3, len(xenv)))))
+
+# plot and fill envelop
+plt.plot(xenv, mjline, marker='o', label='pure MJ', color=colors[1])
+plt.plot(xenv, yenv, label='best perf', color='black')
+plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+
+# plot all dots
+for nt in points:
+    if nt == 1:
+        continue
+    xps, yps = zip(*points[nt])
+    plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt])
+
+# rework labels
+handles,labels = plt.axes().get_legend_handles_labels()
+handles = [handles[0]] + handles[3:] + \
+          [handles[1], patches.Rectangle((0, 0), 1, 1, hatch="\\\\\\", edgecolor='black', facecolor="none")]
+labels = [labels[0]] + labels[3:] + labels[1:3]
+plt.legend(handles, labels, loc=2, ncol=2)
+plt.xlabel('Level of parallelization (nb threads x nb jobs)')
+plt.ylabel('Events / s')
 
 plt.show()
 
-- 
GitLab


From 61a63fc112c2a4fd026b83e060eb483422c8b187 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <Sebastien.Ponce@cern.ch>
Date: Tue, 17 Oct 2017 09:49:20 +0200
Subject: [PATCH 07/96] Added light grid to plotSpeedup images

---
 plotSpeedup.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index 9a4246a3..1196ecf5 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -118,11 +118,13 @@ for nt in points:
     plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt])
 
 # rework labels
-handles,labels = plt.axes().get_legend_handles_labels()
+ax = plt.axes()
+handles,labels = ax.get_legend_handles_labels()
 handles = [handles[0]] + handles[3:] + \
           [handles[1], patches.Rectangle((0, 0), 1, 1, hatch="\\\\\\", edgecolor='black', facecolor="none")]
 labels = [labels[0]] + labels[3:] + labels[1:3]
 plt.legend(handles, labels, loc=2, ncol=2)
+ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
 
-- 
GitLab


From f538e0a29957f705620b0f0d1ceaa5d608ac2a2c Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 16 Nov 2017 08:48:29 +0100
Subject: [PATCH 08/96] Nicer colors for AlgoUsage plots

---
 plotAlgoUsage.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
index af3ecb86..12bacdd4 100644
--- a/plotAlgoUsage.py
+++ b/plotAlgoUsage.py
@@ -1,5 +1,7 @@
 import sys
+import numpy
 import matplotlib.pyplot as plt
+import matplotlib.cm as cm
 
 def extractData(fileName, skipEvts=10):
     f = open(fileName, 'r')
@@ -26,7 +28,7 @@ cdata = {}
 s = sum(data.values())
 other = 0
 for alg in data:
-    if data[alg] < s*0.02:
+    if data[alg] < s*0.025:
         other += data[alg]
     else:
         cdata[alg] = data[alg]
@@ -35,8 +37,11 @@ cdata['other'] = other
 # compute time spent per event
 throughput = 1000000000.0*nbevts/s
 
+# Setup colors
+colors = cm.rainbow(numpy.linspace(0., 1., len(cdata.keys())))
+
 plt.axes(aspect=1)
-plt.pie(cdata.values(), None, cdata.keys(), autopct='%1.1f%%', shadow=True, startangle=90)
-plt.title('Throughput : %.1f evts/s/thread' % throughput)
+plt.pie(cdata.values(), [0.02] * len(cdata.keys()), cdata.keys(), autopct='%1.1f%%', shadow=True, startangle=90, colors=colors)
+#plt.title('Throughput : %.1f evts/s/thread' % throughput)
 #plt.title('Time Usage in MiniBrunel')
 plt.show()
-- 
GitLab


From e616ab4dbc73e4021c14cf332d507ec5cabc6c41 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 16 Nov 2017 08:52:21 +0100
Subject: [PATCH 09/96] Allow to run in non hive mode for single threaded case

---
 extract.py     |  4 ++--
 plotSpeedup.py | 30 +++++++++++++++++++-----------
 runTest.py     | 25 ++++++++++++++++---------
 3 files changed, 37 insertions(+), 22 deletions(-)

diff --git a/extract.py b/extract.py
index 7538ebd4..ccb5506d 100644
--- a/extract.py
+++ b/extract.py
@@ -36,7 +36,7 @@ for d in sys.argv[1:]:
         if fileName[0:10] == 'MiniBrunel':
             if fileName[-3:] == 'csv' or fileName[-3:] == 'xml' :
                 print 'using file %s/%s' % (d, fileName)
-                base, cmtconfig, threads, jobs, events, runNb, job, ext = fileName.split('.')
+                base, cmtconfig, threads, jobs, isHive, events, runNb, job, ext = fileName.split('.')
                 res = resTime if ext == 'csv' else resMem
                 nbEvents = int(events[:-1])
                 if prevNbEvents < 0:
@@ -45,7 +45,7 @@ for d in sys.argv[1:]:
                     if prevNbEvents != nbEvents:
                         print 'Inconsistent nb of events in the different files. This is not supported. Giving up'
                         sys.exit(1)
-                key = (int(threads[:-1]), int(jobs[:-1]))
+                key = (int(threads[:-1]), int(jobs[:-1]), isHive=='hive')
                 run = int(runNb)
                 if cmtconfig not in res:
                     res[cmtconfig] = {}
diff --git a/plotSpeedup.py b/plotSpeedup.py
index 1196ecf5..3db2682a 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -45,11 +45,11 @@ def extrapolatePoints(points, xs):
        xs is a set of x locations also ordered by x
        The functions returns a list of y positions that contains
        the ones in points plus extrapolated values for the missing xs'''
-    points = dict(points)
+    pointsD = dict(points)
     res = []
     for x in xs:
-        if x in points:
-            res.append(points[x])
+        if x in pointsD:
+            res.append(pointsD[x])
         else:
             res.append(extrapolate(points, x))
     return res
@@ -93,20 +93,27 @@ def getEnvelop(points):
 # compute full list of points to display from the raw values
 # each point is a couple x, y and lists are indexed by nbThreads
 points = {}
-for nt, nj in means:
-    if nt not in points:
-        points[nt] = []
-    points[nt].append((nt*nj, nbEvents*nt*nj/means[(nt,nj)]))
+pointsNH = []
+for nt, nj, useHive in means:
+    #if nt > 21:continue
+    if useHive:
+        if nt not in points:
+            points[nt] = []
+        points[nt].append((nt*nj, nbEvents*nt*nj/means[(nt,nj,useHive)]))
+    else:
+        pointsNH.append((nt*nj, nbEvents*nt*nj/means[(nt,nj,useHive)]))
 
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
 mjline = extrapolatePoints(sorted(points[1]), xenv)
+nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
 # Setup colors 
-colors = dict(zip(xenv, cm.rainbow(numpy.linspace(0, 3, len(xenv)))))
+colors = dict(zip(points.keys(), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 
-# plot and fill envelop
-plt.plot(xenv, mjline, marker='o', label='pure MJ', color=colors[1])
+# plot and fill envelop, multi-job and non hive
+plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+plt.plot(xenv, mjline, marker='o', label='Hive MJ', color=(.8,.8,.8))
 plt.plot(xenv, yenv, label='best perf', color='black')
 plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
@@ -123,7 +130,8 @@ handles,labels = ax.get_legend_handles_labels()
 handles = [handles[0]] + handles[3:] + \
           [handles[1], patches.Rectangle((0, 0), 1, 1, hatch="\\\\\\", edgecolor='black', facecolor="none")]
 labels = [labels[0]] + labels[3:] + labels[1:3]
-plt.legend(handles, labels, loc=2, ncol=2)
+plt.legend(handles, labels, loc=4, ncol=2)
+plt.legend(loc=4, ncol=2)
 ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
diff --git a/runTest.py b/runTest.py
index 5b1aab7b..a7caa699 100644
--- a/runTest.py
+++ b/runTest.py
@@ -10,7 +10,7 @@ import argparse
 import subprocess
 import tempfile
 
-def prepareInput(inputFileName, outputFileName, threads, events):
+def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     '''create new input file from a base and options'''
     # write content to temp file
     fd, configFileName = tempfile.mkstemp(suffix=".py")
@@ -18,11 +18,11 @@ def prepareInput(inputFileName, outputFileName, threads, events):
     outputFile.write('from Configurables import MiniBrunel\n')
     outputFile.write('mbrunel = MiniBrunel()\n')
     outputFile.write('mbrunel.EvtMax = %d\n' % events)
-    outputFile.write('mbrunel.MaxAlgosInFlight = %d\n' % threads)
-    outputFile.write('mbrunel.ThreadPoolSize = %d\n' % threads)
-    outputFile.write('mbrunel.EventSlots = %d\n' % threads)
+    if useHive:
+        outputFile.write('mbrunel.ThreadPoolSize = %d\n' % threads)
+        outputFile.write('mbrunel.EventSlots = %d\n' % (threads))
     outputFile.write('mbrunel.HLT1Only = True\n')
-    outputFile.write('mbrunel.EnableHive = True\n')
+    outputFile.write('mbrunel.EnableHive = %s\n' % useHive)
     outputFile.write('mbrunel.HLT1Fitter = True\n')
     outputFile.write('mbrunel.InputData = ["%s"]*%d\n' % (inputFileName, threads))
     outputFile.write('mbrunel.TimelineFile = "%s.csv"\n' % outputFileName)
@@ -31,14 +31,14 @@ def prepareInput(inputFileName, outputFileName, threads, events):
     # return temp file name
     return configFileName    
 
-def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs):
+def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs, useHive):
     '''Run a test with the given options'''
     # start the different processes in parallel
     processes = []
     for jobNb in range(nbjobs):
         # create inputFile
         outputFileName = baseOutputFileName % jobNb
-        configFileName = prepareInput(inputFileName, outputFileName, threads, threads*events)
+        configFileName = prepareInput(inputFileName, outputFileName, threads, threads*events, useHive)
         # open log file
         outputFile = open("%s.log" % outputFileName, 'w')
         # run the test
@@ -67,6 +67,8 @@ def main():
                         help='nb of runs of the test, default is 1')
     parser.add_argument('-f', '--firstrun', default=0, type=int,
                         help='nb of first run, default is 0')
+    parser.add_argument('-o', '--onlyhive', action='store_true',
+                        help='whether to only run in hive mode, not running non hive cases')
     parser.add_argument('inputFileName', type=str,
                         help='Input file name. Needs to have enough events for feeding 1 thread. Then it will be reused')
     args = parser.parse_args()
@@ -77,8 +79,13 @@ def main():
                 continue
             # run the test the specified number of times
             for i in range(args.runs):
-                outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
-                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs)
+                outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.hive.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
+                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True)
+            # in case of single thread, maybe also run non hive mode
+            if nthreads == 1 and not args.onlyhive:
+                for i in range(args.runs):
+                    outputFilebaseName = 'MiniBrunel-HTL1.%s.1t.%dj.nohive.%de.%d.%%d' % (os.environ['CMTCONFIG'], njobs, args.events, args.firstrun+i)
+                    runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False)
 
 if __name__ == '__main__':
     sys.exit(main())
-- 
GitLab


From e44434774ec50015a7f963e041547c5e914b42f9 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 16 Nov 2017 11:42:56 +0100
Subject: [PATCH 10/96] tentative implementation of finer event counting,
 ignoring first and last ones

---
 extract.py     | 127 +++++++++++++++++++++++++++++++++++++------------
 plotSpeedup.py |  43 +++++++----------
 runTest.py     |  48 ++++++++++++-------
 3 files changed, 145 insertions(+), 73 deletions(-)

diff --git a/extract.py b/extract.py
index ccb5506d..cc11527c 100644
--- a/extract.py
+++ b/extract.py
@@ -1,4 +1,4 @@
-import sys, os
+import sys, os, csv
 
 sequences = ["BrunelSequencer", "PhysicsSeq", "Reco", "RecoDecodingSeq", "RecoTrFastSeq"]
 
@@ -13,31 +13,62 @@ def extractMem(fileName):
     f.close()
     return maxi
 
-def extractTime(fileName):
-    f = open(fileName, 'r')
-    min = 100000000000000000000000000
-    max = -1
-    for l in f.readlines()[1:]:
-        s, e, a, t, sl, ne = l.split()
-        #if a not in sequences:
-        if int(s) < min:
-            min = int(s)
-        if int(e) > max:
-            max = int(e)
-    f.close()
-    return (max-min)/1000000000.0
+def extractEvents(fileName):
+    events = {}
+    lastEvt = 0
+    with open(fileName, 'r') as csvfile:
+        reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
+        titles = reader.next()
+        for s, e, a, t, sl, ne in reader:
+            ne = int(ne)
+            s = int(s)
+            e = int(e)
+            if ne in events:
+                ps, pe = events[ne]
+                events[ne] = (min(s, ps), max(e, pe))
+            else:
+                events[ne] = (s, e)
+            if ne > lastEvt:
+                lastEvt = ne
+    return lastEvt, events
 
+def extractTimes(allEvents):
+    '''find out latest event number 10 and earliest last event,
+       then drop all events outside these bounds and count remaining
+       ones plus measure the time spent'''
+    startTime = 0
+    endTime = 100000000000000000000000000
+    for lastEvt, events in allEvents:
+        startTime = max(startTime, events[10][0])
+        endTime = min(endTime, events[lastEvt][0])
+    nbEvts = 0
+    for lastEvt, events in allEvents:
+        for ne in events:
+            if ne < 10: continue
+            if events[ne][0] < startTime or events[ne][1] > endTime: continue
+            nbEvts += 1
+    return nbEvts, startTime, endTime
+    
 resTime = {}
-resMem = {}
 
+# list files per type and key (for csv ones)
+print 'Listing Files'
+xmlFiles = []
+csvFiles = {}
 prevNbEvents = -1
+nbRuns = 0
 for d in sys.argv[1:]:
     for fileName in os.listdir(d):
         if fileName[0:10] == 'MiniBrunel':
-            if fileName[-3:] == 'csv' or fileName[-3:] == 'xml' :
-                print 'using file %s/%s' % (d, fileName)
+            if fileName[-3:] == 'xml' :
+                xmlFiles.append(fileName)
+            elif fileName[-3:] == 'csv':
+                print 'using file %s/%s            \r' % (d, fileName),
+                sys.stdout.flush()
                 base, cmtconfig, threads, jobs, isHive, events, runNb, job, ext = fileName.split('.')
-                res = resTime if ext == 'csv' else resMem
+                run = int(runNb)
+                if run > nbRuns:
+                    nbRuns = run+1
                 nbEvents = int(events[:-1])
                 if prevNbEvents < 0:
                     prevNbEvents = nbEvents
@@ -46,20 +77,54 @@ for d in sys.argv[1:]:
                         print 'Inconsistent nb of events in the different files. This is not supported. Giving up'
                         sys.exit(1)
                 key = (int(threads[:-1]), int(jobs[:-1]), isHive=='hive')
-                run = int(runNb)
-                if cmtconfig not in res:
-                    res[cmtconfig] = {}
-                if key not in res[cmtconfig]:
-                    res[cmtconfig][key] = [0]*(run+1)
-                if len(res[cmtconfig][key]) < run+1:
-                    res[cmtconfig][key] += [0] * (run+1-len(res[cmtconfig][key]))
-                if ext == 'csv':
-                    value = extractTime("%s/%s" % (d, fileName))
-                    res[cmtconfig][key][run] = max(res[cmtconfig][key][run], value) # time taken is max of different jobs
+                if cmtconfig not in csvFiles:
+                    csvFiles[cmtconfig] = {}
+                if key not in csvFiles[cmtconfig]:
+                    csvFiles[cmtconfig][key] = {}
+                if run not in csvFiles[cmtconfig][key]:
+                    csvFiles[cmtconfig][key][run] = []
+                csvFiles[cmtconfig][key][run].append('%s/%s' % (d, fileName))
+print
+
+# dealing with csv files
+resTime = {}
+print 'Extracting timing data'
+for cmtconfig in csvFiles:
+    resTime[cmtconfig] = {}
+    for key in csvFiles[cmtconfig]:
+        for run in csvFiles[cmtconfig][key]:
+            startTime = 0
+            endtime = 100000000000000000000000000
+            allEvents = []
+            for fileName in csvFiles[cmtconfig][key][run]:
+                print 'using file %s \r' % fileName,
+                sys.stdout.flush()
+                allEvents.append(extractEvents("%s/%s" % (d, fileName)))
+            nbevts, startTime, endTime = extractTimes(allEvents)
+            if endTime < startTime or nbevts == 0:
+                sys.stderr.write('\nWarning, unable to get consistent data for run %d with %d threads and %d jobs\n' % (run, key[0], key[1]))
+            else:
+                if key in resTime[cmtconfig]:
+                    curNbEvts, curTime = resTime[cmtconfig][key]
                 else:
-                    value = extractMem("%s/%s" % (d, fileName))
-                    res[cmtconfig][key][run] += value # mem taken is sum of different jobs
+                    curNbEvts, curTime = 0, 0
+                resTime[cmtconfig][key] = (nbevts + curNbEvts, (endTime-startTime)/1000000000.0 + curTime)
+print
+
+# handle xml files
+resMem = {}
+print 'Extracting memory data'
+for f in xmlFiles:
+    print 'using file %s/%s \r' % (d, fileName),
+    sys.stdout.flush()
+    value = extractMem("%s/%s" % (d, fileName))
+    if cmtconfig not in resMem:
+        resMem[cmtconfig] = {}
+    if key not in resMem[cmtconfig]:
+        resMem[cmtconfig][key] = [0]*(nbRuns+1)
+    resMem[cmtconfig][key][run] += value # mem taken is sum of different jobs
+print
 
 f = open('extractedData', 'w')
-f.write(str((prevNbEvents, resTime, resMem)))
+f.write(str((resTime, resMem)))
 f.close()
diff --git a/plotSpeedup.py b/plotSpeedup.py
index 3db2682a..39937d22 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -4,22 +4,13 @@ import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 import matplotlib.patches as patches
 
-nbEvents, times, mems = eval(open(sys.argv[1]).read())
+times, mems = eval(open(sys.argv[1]).read())
 
 # Extract data from input
-def computeMeans(res):
-    means = {}
-    for t in res:
-        means[t] = {}
-        for n in res[t]:
-            means[t][n] = numpy.mean(res[t][n])
-    return means
-
-means = computeMeans(times)
-if len(means.keys()) > 1:
+if len(times.keys()) > 1:
     print "Not supporting mixed CMTCONFIG, giving up"
     sys.exit(-1)
-means = means[means.keys()[0]]
+times = times[times.keys()[0]]
 
 def linExtrapolate(p1, p2, x):
     '''given 2 points in x,y format and an x in between,
@@ -94,28 +85,28 @@ def getEnvelop(points):
 # each point is a couple x, y and lists are indexed by nbThreads
 points = {}
 pointsNH = []
-for nt, nj, useHive in means:
-    #if nt > 21:continue
+for nt, nj, useHive in times:
+    nbEvents, duration = times[(nt,nj,useHive)]
     if useHive:
         if nt not in points:
             points[nt] = []
-        points[nt].append((nt*nj, nbEvents*nt*nj/means[(nt,nj,useHive)]))
+        points[nt].append((nt*nj, nbEvents/duration))
     else:
-        pointsNH.append((nt*nj, nbEvents*nt*nj/means[(nt,nj,useHive)]))
+        pointsNH.append((nt*nj, nbEvents/duration))
 
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
-mjline = extrapolatePoints(sorted(points[1]), xenv)
-nhline = extrapolatePoints(sorted(pointsNH), xenv)
+#mjline = extrapolatePoints(sorted(points[1]), xenv)
+#nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
 # Setup colors 
 colors = dict(zip(points.keys(), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 
 # plot and fill envelop, multi-job and non hive
-plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
-plt.plot(xenv, mjline, marker='o', label='Hive MJ', color=(.8,.8,.8))
+#plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+#plt.plot(xenv, mjline, marker='o', label='Hive MJ', color=(.8,.8,.8))
 plt.plot(xenv, yenv, label='best perf', color='black')
-plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+#plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 # plot all dots
 for nt in points:
@@ -126,11 +117,11 @@ for nt in points:
 
 # rework labels
 ax = plt.axes()
-handles,labels = ax.get_legend_handles_labels()
-handles = [handles[0]] + handles[3:] + \
-          [handles[1], patches.Rectangle((0, 0), 1, 1, hatch="\\\\\\", edgecolor='black', facecolor="none")]
-labels = [labels[0]] + labels[3:] + labels[1:3]
-plt.legend(handles, labels, loc=4, ncol=2)
+# handles,labels = ax.get_legend_handles_labels()
+# handles = [handles[0]] + handles[3:] + \
+#           [handles[1], patches.Rectangle((0, 0), 1, 1, hatch="\\\\\\", edgecolor='black', facecolor="none")]
+# labels = [labels[0]] + labels[3:] + labels[1:3]
+# plt.legend(handles, labels, loc=4, ncol=2)
 plt.legend(loc=4, ncol=2)
 ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
diff --git a/runTest.py b/runTest.py
index a7caa699..c6de3f2d 100644
--- a/runTest.py
+++ b/runTest.py
@@ -9,6 +9,7 @@ import sys
 import argparse
 import subprocess
 import tempfile
+import itertools
 
 def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     '''create new input file from a base and options'''
@@ -20,7 +21,9 @@ def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     outputFile.write('mbrunel.EvtMax = %d\n' % events)
     if useHive:
         outputFile.write('mbrunel.ThreadPoolSize = %d\n' % threads)
-        outputFile.write('mbrunel.EventSlots = %d\n' % (threads))
+        outputFile.write('mbrunel.EventSlots = %d\n' % (2*threads))
+    outputFile.write('mbrunel.GECCut = 11500\n')
+    #outputFile.write('mbrunel.IPCut = 0.1\n')
     outputFile.write('mbrunel.HLT1Only = True\n')
     outputFile.write('mbrunel.EnableHive = %s\n' % useHive)
     outputFile.write('mbrunel.HLT1Fitter = True\n')
@@ -42,7 +45,7 @@ def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjo
         # open log file
         outputFile = open("%s.log" % outputFileName, 'w')
         # run the test
-        processes.append((subprocess.Popen(["lbsmaps", "-o", "%s.xml" % outputFileName, "Brunel/build.%s/run" % os.environ['CMTCONFIG'], "gaudirun.py", configFileName], stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
+        processes.append((subprocess.Popen(["/tmp/lbsmaps", "-o", "%s.xml" % outputFileName, "Brunel/build.%s/run" % os.environ['CMTCONFIG'], "gaudirun.py", configFileName], stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
     # wait for all processes and massage output
     for (process, outputFile, configFileName) in processes:
         process.wait()
@@ -55,8 +58,11 @@ def main():
     parser = argparse.ArgumentParser(description=__doc__)
     parser.add_argument('-t', '--threads', type=str, default='1',
                         help='list of nb of threads per job to run the test for, comma separated')
-    parser.add_argument('-j', '--jobs', type=str, default='1',
+    group = parser.add_mutually_exclusive_group(required=True)
+    group.add_argument('-j', '--jobs', type=str, default='1',
                         help='list of nb of jobs to run the test for, comma separated')
+    group.add_argument('-p', '--points', type=str,
+                        help='explicit list of points (ie nb threads:nbjobs) to run the test for, comma separated')
     parser.add_argument('-m', '--maxthreads', type=int, default='64',
                         help='maximum number of threads allowed. This allows to ignore some combinations of -t and -j that would lead to too many concurrent threads.')
     parser.add_argument('-n', '--events', default=1000, type=int,
@@ -72,21 +78,31 @@ def main():
     parser.add_argument('inputFileName', type=str,
                         help='Input file name. Needs to have enough events for feeding 1 thread. Then it will be reused')
     args = parser.parse_args()
-    for nthreads in map(int,args.threads.split(',')):
-        for njobs in map(int,args.jobs.split(',')):
-            # check total number of threads
-            if nthreads * njobs > args.maxthreads:
-                continue
-            # run the test the specified number of times
+    # check options
+    if args.points:
+        points = [map(int, item.split(':')) for item in args.points.split(',')]
+    else:
+        nbthreads = map(int,args.threads.split(','))
+        nbjobs = map(int,args.jobs.split(','))
+        points = itertools.product(nbthreads, nbjobs)
+    print list(points)
+        
+    for nthreads, njobs in points:
+        # check total number of threads
+        if nthreads * njobs > args.maxthreads:
+            continue
+        # run the test the specified number of times
+        for i in range(args.runs):
+            outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.hive.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
+            runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True)
+        # in case of single thread, maybe also run non hive mode
+        if nthreads == 1 and not args.onlyhive:
             for i in range(args.runs):
-                outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.hive.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
-                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True)
-            # in case of single thread, maybe also run non hive mode
-            if nthreads == 1 and not args.onlyhive:
-                for i in range(args.runs):
-                    outputFilebaseName = 'MiniBrunel-HTL1.%s.1t.%dj.nohive.%de.%d.%%d' % (os.environ['CMTCONFIG'], njobs, args.events, args.firstrun+i)
-                    runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False)
+                outputFilebaseName = 'MiniBrunel-HTL1.%s.1t.%dj.nohive.%de.%d.%%d' % (os.environ['CMTCONFIG'], njobs, args.events, args.firstrun+i)
+                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False)
 
 if __name__ == '__main__':
     sys.exit(main())
 
+# Nice list of points for getting quickly something visible and nice plots in the long term
+# 1:1,1:16,1:32,1:48,1:64,2:1,2:8,2:16,2:24,2:32,4:1,4:4,4:8,4:12,4:16,8:1,8:2,8:4,8:6,8:8,12:1,12:2,12:4,12:5,16:1,16:2,16:3,16:4
-- 
GitLab


From 1cc7c735473a8e4299b1860857f49e9444bc3b83 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 11 Dec 2017 10:49:03 +0100
Subject: [PATCH 11/96] Fixed colors of plot

---
 plotSpeedup.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index 39937d22..d39d6f84 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -29,7 +29,7 @@ def extrapolate(points, x):
         n = 0
         while x > points[n][0]:
             n += 1
-        return linExtrapolate(points[n], points[n+1], x)
+        return linExtrapolate(points[n-1], points[n], x)
 
 def extrapolatePoints(points, xs):
     '''points must be a set of points in (x,y) format ordered by x
@@ -100,7 +100,7 @@ xenv, yenv = getEnvelop(sum(points.values(), []))
 #nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
 # Setup colors 
-colors = dict(zip(points.keys(), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 
 # plot and fill envelop, multi-job and non hive
 #plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
@@ -109,7 +109,7 @@ plt.plot(xenv, yenv, label='best perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 # plot all dots
-for nt in points:
+for nt in sorted(points.keys()):
     if nt == 1:
         continue
     xps, yps = zip(*points[nt])
-- 
GitLab


From 56b31c4529bc24e30f5505b4a7d7e8bc394a47f3 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 11 Dec 2017 10:49:53 +0100
Subject: [PATCH 12/96] Plot multijob and no hive by default in plotSpeedup

---
 plotSpeedup.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index d39d6f84..152f6c8b 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -96,16 +96,16 @@ for nt, nj, useHive in times:
 
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
-#mjline = extrapolatePoints(sorted(points[1]), xenv)
-#nhline = extrapolatePoints(sorted(pointsNH), xenv)
+mjline = extrapolatePoints(sorted(points[1]), xenv)
+nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
 # Setup colors 
 colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 
 # plot and fill envelop, multi-job and non hive
-#plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
-#plt.plot(xenv, mjline, marker='o', label='Hive MJ', color=(.8,.8,.8))
-plt.plot(xenv, yenv, label='best perf', color='black')
+plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
+plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 # plot all dots
-- 
GitLab


From c9ba58572d727c186d27529c558bf29dd5484aef Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 11 Dec 2017 10:50:37 +0100
Subject: [PATCH 13/96] Dropped HLT1 sequences from hivetimeline plots

---
 hivetimeline.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/hivetimeline.py b/hivetimeline.py
index 7d4915e1..5ac87bd6 100644
--- a/hivetimeline.py
+++ b/hivetimeline.py
@@ -17,6 +17,8 @@ evtcolors = []
 class Data:
    pass
 
+excludedSeqs = [ 'BrunelSequencer', 'ParallelSeq', 'FilterSeq', 'RecoDecodingSeq', 'RecoTrFastSeq', 'Reco', 'PhysicsSeq', 'Output' ]
+
 def read(f,regex='.*'):
    data = []
    regex = re.compile(regex)
@@ -27,8 +29,8 @@ def read(f,regex='.*'):
       d = Data()
       for i,f in enumerate(l.split()):
          setattr(d, names[i], int(f) if f.isdigit() else f)
-      data.append(d)
-
+      if d.algorithm not in excludedSeqs:
+            data.append(d)
    return data
 
 def findEvents(data):
-- 
GitLab


From c242f95bd0f5d04c0880fac6dad9d6799314c089 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 11 Dec 2017 10:56:52 +0100
Subject: [PATCH 14/96] Adapted plotMem to new layout of extracted data

---
 plotMem.py | 21 +++++----------------
 1 file changed, 5 insertions(+), 16 deletions(-)

diff --git a/plotMem.py b/plotMem.py
index ed30a286..638b3671 100644
--- a/plotMem.py
+++ b/plotMem.py
@@ -1,28 +1,17 @@
 import sys, os, numpy
 
-nbEvents, times, mems = eval(open(sys.argv[1]).read())
-
-def computeMeans(res):
-    means = {}
-    for t in res:
-        means[t] = {}
-        for n in res[t]:
-            means[t][n] = numpy.mean(res[t][n])
-    return means
-
-means = computeMeans(mems)
+times, mems = eval(open(sys.argv[1]).read())
 
 import matplotlib.pyplot as plt
 plt.xlabel('Nb cores/threads')
 plt.ylabel('Max resident memory usage (MB)')
 plt.title('Memory usage on multi-cores')
 
-for cmtconfig in means:
-    nbJobsSet = set([nj for (nt,nj) in means[cmtconfig].keys()])
-    print cmtconfig, means[cmtconfig].keys(), nbJobsSet
+for cmtconfig in mems:
+    nbJobsSet = set([nj for (nt,nj,ishive) in mems[cmtconfig].keys() if ishive])
     for nbJobs in sorted(list(nbJobsSet)):
-        keys = sorted([(nt,nj) for (nt,nj) in means[cmtconfig].keys() if nj == nbJobs])
-        plt.plot([nt*nj for (nt,nj) in keys], [means[cmtconfig][(nt,nj)] for (nt,nj) in keys], marker='o', label='%d jobs' % (nbJobs))
+        keys = sorted([(nt,nj,ishive) for (nt,nj,ishive) in mems[cmtconfig].keys() if nj == nbJobs and ishive])
+        plt.plot([nt*nj for (nt,nj,ishive) in keys], [mems[cmtconfig][(nt,nj,ishive)] for (nt,nj,ishive) in keys], marker='o', label='%d jobs' % (nbJobs))
 
 plt.legend(loc=4)
 plt.show()
-- 
GitLab


From 5cdf0ac30d9be5f2f721a2f3de68fbc6c922a63c Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 11 Dec 2017 10:58:37 +0100
Subject: [PATCH 15/96] Multiprocess version of extract to speed up extraction

---
 extract.py | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

diff --git a/extract.py b/extract.py
index cc11527c..87721856 100644
--- a/extract.py
+++ b/extract.py
@@ -1,4 +1,5 @@
 import sys, os, csv
+from multiprocessing import Pool
 
 sequences = ["BrunelSequencer", "PhysicsSeq", "Reco", "RecoDecodingSeq", "RecoTrFastSeq"]
 
@@ -40,7 +41,7 @@ def extractTimes(allEvents):
     endTime = 100000000000000000000000000
     for lastEvt, events in allEvents:
         startTime = max(startTime, events[10][0])
-        endTime = min(endTime, events[lastEvt][0])
+        endTime = min(endTime, events[lastEvt][1])
     nbEvts = 0
     for lastEvt, events in allEvents:
         for ne in events:
@@ -96,10 +97,17 @@ for cmtconfig in csvFiles:
             startTime = 0
             endtime = 100000000000000000000000000
             allEvents = []
+            if len(csvFiles[cmtconfig][key][run]) != key[1]:
+                print 'MISSING FILE for %s, nbthread=%d, nbjobs=%d : %d out of %d present' % (cmtconfig, key[0], key[1], len(csvFiles[cmtconfig][key][run]), key[1])
+            # parse files in parallel
+            pool = Pool()
+            results = []
             for fileName in csvFiles[cmtconfig][key][run]:
-                print 'using file %s \r' % fileName,
+                print 'using file %s              \r' % fileName,
                 sys.stdout.flush()
-                allEvents.append(extractEvents("%s/%s" % (d, fileName)))
+                results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, fileName)]))
+            for result in results:
+                allEvents.append(result.get())
             nbevts, startTime, endTime = extractTimes(allEvents)
             if endTime < startTime or nbevts == 0:
                 sys.stderr.write('\nWarning, unable to get consistent data for run %d with %d threads and %d jobs\n' % (run, key[0], key[1]))
@@ -114,10 +122,13 @@ print
 # handle xml files
 resMem = {}
 print 'Extracting memory data'
-for f in xmlFiles:
+for fileName in xmlFiles:
     print 'using file %s/%s \r' % (d, fileName),
     sys.stdout.flush()
     value = extractMem("%s/%s" % (d, fileName))
+    base, cmtconfig, threads, jobs, isHive, events, runNb, job, ext = fileName.split('.')
+    run = int(runNb)
+    key = (int(threads[:-1]), int(jobs[:-1]), isHive=='hive')
     if cmtconfig not in resMem:
         resMem[cmtconfig] = {}
     if key not in resMem[cmtconfig]:
-- 
GitLab


From 3a075d9878dfa010ba684358cc5764be1209e6bf Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maszyman@cern.ch>
Date: Mon, 5 Feb 2018 10:40:10 +0100
Subject: [PATCH 16/96] fixes for pr test

---
 extract.py       |  4 ++--
 plotAlgoUsage.py |  2 +-
 plotSpeedup.py   | 12 +++++++++---
 3 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/extract.py b/extract.py
index 87721856..d93d02e7 100644
--- a/extract.py
+++ b/extract.py
@@ -49,7 +49,7 @@ def extractTimes(allEvents):
             if events[ne][0] < startTime or events[ne][1] > endTime: continue
             nbEvts += 1
     return nbEvts, startTime, endTime
-    
+
 resTime = {}
 
 # list files per type and key (for csv ones)
@@ -105,7 +105,7 @@ for cmtconfig in csvFiles:
             for fileName in csvFiles[cmtconfig][key][run]:
                 print 'using file %s              \r' % fileName,
                 sys.stdout.flush()
-                results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, fileName)]))
+                results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, os.path.basename(fileName))]))
             for result in results:
                 allEvents.append(result.get())
             nbevts, startTime, endTime = extractTimes(allEvents)
diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
index 12bacdd4..54aaa3f2 100644
--- a/plotAlgoUsage.py
+++ b/plotAlgoUsage.py
@@ -44,4 +44,4 @@ plt.axes(aspect=1)
 plt.pie(cdata.values(), [0.02] * len(cdata.keys()), cdata.keys(), autopct='%1.1f%%', shadow=True, startangle=90, colors=colors)
 #plt.title('Throughput : %.1f evts/s/thread' % throughput)
 #plt.title('Time Usage in MiniBrunel')
-plt.show()
+plt.savefig('./algousage.png')
diff --git a/plotSpeedup.py b/plotSpeedup.py
index 152f6c8b..371c50bc 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -108,13 +108,21 @@ plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
 plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
+max_throughput = 0
+max_nt = 1
+
 # plot all dots
 for nt in sorted(points.keys()):
     if nt == 1:
         continue
     xps, yps = zip(*points[nt])
+    if max(yps) > max_throughput:
+        max_throughput = max(yps)
+        max_nt = nt
     plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt])
 
+print max_throughput, nt
+
 # rework labels
 ax = plt.axes()
 # handles,labels = ax.get_legend_handles_labels()
@@ -127,6 +135,4 @@ ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
 
-plt.show()
-
-
+plt.savefig('./throughput.png')
-- 
GitLab


From df0d28f0556f28ab0113925f4a290b9afb69854d Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <Maciej Szymanski maszyman@cern.ch>
Date: Mon, 5 Feb 2018 23:09:13 +0100
Subject: [PATCH 17/96] fixes for non-interactive running

---
 extract.py       |  2 +-
 plotAlgoUsage.py |  2 ++
 plotSpeedup.py   | 23 +++++++++++++----------
 3 files changed, 16 insertions(+), 11 deletions(-)

diff --git a/extract.py b/extract.py
index d93d02e7..3b17daec 100644
--- a/extract.py
+++ b/extract.py
@@ -103,7 +103,7 @@ for cmtconfig in csvFiles:
             pool = Pool()
             results = []
             for fileName in csvFiles[cmtconfig][key][run]:
-                print 'using file %s              \r' % fileName,
+                print 'using file %s/%s              \r' % (d, os.path.basename(fileName)),
                 sys.stdout.flush()
                 results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, os.path.basename(fileName))]))
             for result in results:
diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
index 54aaa3f2..f84987f0 100644
--- a/plotAlgoUsage.py
+++ b/plotAlgoUsage.py
@@ -1,5 +1,7 @@
 import sys
 import numpy
+import matplotlib
+matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 
diff --git a/plotSpeedup.py b/plotSpeedup.py
index 371c50bc..a05728db 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -1,5 +1,7 @@
 import sys
 import numpy
+import matplotlib
+matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 import matplotlib.patches as patches
@@ -93,24 +95,25 @@ for nt, nj, useHive in times:
         points[nt].append((nt*nj, nbEvents/duration))
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
-
 # get envelop
-xenv, yenv = getEnvelop(sum(points.values(), []))
-mjline = extrapolatePoints(sorted(points[1]), xenv)
-nhline = extrapolatePoints(sorted(pointsNH), xenv)
+# xenv, yenv = getEnvelop(sum(points.values(), []))
+# mjline = extrapolatePoints(sorted(points[1]), xenv)
+# nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
-# Setup colors 
-colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+# # Setup colors 
+#colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 
-# plot and fill envelop, multi-job and non hive
-plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
-plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
-plt.plot(xenv, yenv, label='best hive perf', color='black')
+# # plot and fill envelop, multi-job and non hive
+# plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+# plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
+# plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 max_throughput = 0
 max_nt = 1
 
+#xenv, yenv = getEnvelop(sum(pointsNH.values(), []))
+colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 # plot all dots
 for nt in sorted(points.keys()):
     if nt == 1:
-- 
GitLab


From 92f2cce0ced4e45699578d5da79d4263b99ab0a2 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 8 Feb 2018 10:48:57 +0000
Subject: [PATCH 18/96] plot best hive perf

---
 plotSpeedup.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index a05728db..806ae52a 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -96,7 +96,7 @@ for nt, nj, useHive in times:
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
 # get envelop
-# xenv, yenv = getEnvelop(sum(points.values(), []))
+xenv, yenv = getEnvelop(sum(points.values(), []))
 # mjline = extrapolatePoints(sorted(points[1]), xenv)
 # nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
@@ -106,7 +106,7 @@ for nt, nj, useHive in times:
 # # plot and fill envelop, multi-job and non hive
 # plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
 # plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
-# plt.plot(xenv, yenv, label='best hive perf', color='black')
+plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 max_throughput = 0
-- 
GitLab


From 64bd264690e386bd661a4fed4db2fbc1a3621387 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 8 Feb 2018 12:24:00 +0000
Subject: [PATCH 19/96] prettier plot

---
 plotSpeedup.py | 22 ++++++++++++----------
 1 file changed, 12 insertions(+), 10 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index 806ae52a..ab16e17d 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -97,17 +97,19 @@ for nt, nj, useHive in times:
         pointsNH.append((nt*nj, nbEvents/duration))
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
-# mjline = extrapolatePoints(sorted(points[1]), xenv)
-# nhline = extrapolatePoints(sorted(pointsNH), xenv)
-
-# # Setup colors 
-#colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
-
-# # plot and fill envelop, multi-job and non hive
-# plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
-# plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
 plt.plot(xenv, yenv, label='best hive perf', color='black')
-#plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+
+try:
+    mjline = extrapolatePoints(sorted(points[1]), xenv)
+    nhline = extrapolatePoints(sorted(pointsNH), xenv)
+    # # Setup colors 
+    #colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+    # # plot and fill envelop, multi-job and non hive
+    plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+    plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
+    plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+except:
+    pass
 
 max_throughput = 0
 max_nt = 1
-- 
GitLab


From d4a526796d766be376e0bb856a0389aca0b49acc Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 8 Feb 2018 12:40:43 +0000
Subject: [PATCH 20/96] cleanup

---
 plotSpeedup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index ab16e17d..d03df6ba 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -95,6 +95,7 @@ for nt, nj, useHive in times:
         points[nt].append((nt*nj, nbEvents/duration))
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
+
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
 plt.plot(xenv, yenv, label='best hive perf', color='black')
@@ -139,5 +140,4 @@ plt.legend(loc=4, ncol=2)
 ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
-
 plt.savefig('./throughput.png')
-- 
GitLab


From dfccdab80c9b14f129d2aa799d378420eca2628e Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Mon, 12 Feb 2018 08:00:23 +0000
Subject: [PATCH 21/96] don't plot best hive if fails

---
 plotSpeedup.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index d03df6ba..92f37079 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -96,11 +96,10 @@ for nt, nj, useHive in times:
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
 
-# get envelop
-xenv, yenv = getEnvelop(sum(points.values(), []))
-plt.plot(xenv, yenv, label='best hive perf', color='black')
-
 try:
+    # get envelop
+    xenv, yenv = getEnvelop(sum(points.values(), []))
+    plt.plot(xenv, yenv, label='best hive perf', color='black')
     mjline = extrapolatePoints(sorted(points[1]), xenv)
     nhline = extrapolatePoints(sorted(pointsNH), xenv)
     # # Setup colors 
-- 
GitLab


From 257538e6bda87dc1b910e634a33c70e6288603b5 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Tue, 27 Feb 2018 09:05:09 +0100
Subject: [PATCH 22/96] Added readme

---
 Readme | 29 +++++++++++++++++++++++++++++
 1 file changed, 29 insertions(+)
 create mode 100644 Readme

diff --git a/Readme b/Readme
new file mode 100644
index 00000000..a33eb9a2
--- /dev/null
+++ b/Readme
@@ -0,0 +1,29 @@
+This repository provides a set of scripts to ease benchmarking of Minibrunel.
+
+You will find there 7 scripts.
+The first one to use if runTest.py, I let you guess what it does.
+Check the help, but main things you want to know are :
+  - MiniBrunel config is hardcoded in there, you have to change it by hand at the top in prepareInput
+  - default config will run HLT1 for 1000 events per thread/job, with 1 thread, 1 job, in hive mode and without the fit
+  - -t allows to give the number of threads you want to use, for example -t 1,2,4 will run 3 times MiniBrunel with 1, 2 and 3 threads
+  - -j is similar for number of jobs
+  - all combinations of -t and -j are ran : -j 1,2 -t 1,2 will run 4 tests. you can limit for global concurrency with -m
+  - -n allows to change number of event per thread/job
+  - -r allows to run several time each config, by default it's only once
+  - it takes a single argument : the input file name
+  - finally it internally uses lbsmaps, so you need to have this script in your PATH
+
+Take care when you run to use as input a file in RAMFS if you do not want to be slowed down by IO.
+
+The output of runTest.py is a set of .log, .csv and .xml files. One of each per test ran and per job of the test. They will appear in the current directory and are named after the parameters of the test.
+Put them in a given directory before you use the other scripts.
+
+extract.py is the next one you may use : you give it a directory full of log, csv and xml files and it parses all of them to extract the key numbers into a file called extractedData (yes, hardcoded name, to be changed).
+It only contains a python tuple of dictionaries. That's the one you need for all subsequent plots.
+
+plotMem.py and plotSpeedup.py each take as input this extractedData and plot stuff mem/speedup with respect to parallelism level (nb threads*nb jobs)
+
+Finally plotAlgoUsage.py and hivetimeline.py are different as they take in input a csv file of one single test and they plot what happened during that test.
+  - plotAlgoUsage.py plots a pie chart of the relative time spent in the different algorithms during the test
+  - hivetimeline.py plots the timeline of the job, with the scheduling of each algo and event on each core.
+    Take care that this one will not work so well with many events. You probably want to have no more than a few 10s per thread. One trick is to just take the head -1000 of the csv file and see the start of the job
-- 
GitLab


From 5c5a35d91e57e3da7cd6776aba5a671822ee1d3d Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 13:00:14 +0100
Subject: [PATCH 23/96] Be agnostic of where we run, rely on external
 configuration

---
 runTest.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/runTest.py b/runTest.py
index c6de3f2d..da000b9a 100644
--- a/runTest.py
+++ b/runTest.py
@@ -45,7 +45,7 @@ def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjo
         # open log file
         outputFile = open("%s.log" % outputFileName, 'w')
         # run the test
-        processes.append((subprocess.Popen(["/tmp/lbsmaps", "-o", "%s.xml" % outputFileName, "Brunel/build.%s/run" % os.environ['CMTCONFIG'], "gaudirun.py", configFileName], stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
+        processes.append((subprocess.Popen(["lbsmaps", "-o", "%s.xml" % outputFileName, "gaudirun.py", configFileName], stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
     # wait for all processes and massage output
     for (process, outputFile, configFileName) in processes:
         process.wait()
-- 
GitLab


From 3af519e82645d1527f0d558fb615dae89f826480 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 13:02:48 +0100
Subject: [PATCH 24/96] Extended runTest for supporting numa and for guessing
 best configurations

---
 Readme => Readme.md | 12 ++++++----
 runTest.py          | 55 +++++++++++++++++++++++++++++++++++----------
 2 files changed, 51 insertions(+), 16 deletions(-)
 rename Readme => Readme.md (68%)

diff --git a/Readme b/Readme.md
similarity index 68%
rename from Readme
rename to Readme.md
index a33eb9a2..e3b7876f 100644
--- a/Readme
+++ b/Readme.md
@@ -1,15 +1,19 @@
 This repository provides a set of scripts to ease benchmarking of Minibrunel.
+You will find there 7 scripts and here is a short description of each of them
 
-You will find there 7 scripts.
 The first one to use if runTest.py, I let you guess what it does.
 Check the help, but main things you want to know are :
-  - MiniBrunel config is hardcoded in there, you have to change it by hand at the top in prepareInput
-  - default config will run HLT1 for 1000 events per thread/job, with 1 thread, 1 job, in hive mode and without the fit
+  * MiniBrunel config is hardcoded in there, you have to change it by hand at the top in prepareInput
+  * default config will run HLT1 for 1000 events per thread/job, with 1 thread, 1 job, in hive mode and without the fit
   - -t allows to give the number of threads you want to use, for example -t 1,2,4 will run 3 times MiniBrunel with 1, 2 and 3 threads
   - -j is similar for number of jobs
   - all combinations of -t and -j are ran : -j 1,2 -t 1,2 will run 4 tests. you can limit for global concurrency with -m
+  - -p allows to explicit list of points (ie nb threads:nbjobs) to run the test for, comma separated. Thus -j and -t ar then ignored
+  - --bestPoints let the tool run for the 6 best combinations of threads and jobs for the node (checking number of cores). thus -p, -j and -t will be ignored
   - -n allows to change number of event per thread/job
   - -r allows to run several time each config, by default it's only once
+  - -o allows to run only in hive mode. By default for nbThreads=1, both hive and non-hive versions are ran
+  - --numa allows to respect numa nodes. Jobs will be launched using numactl on the different numa nodes in a round-robin fashion. So you probably want to have the number of job being a multiple of the number of numa nodes
   - it takes a single argument : the input file name
   - finally it internally uses lbsmaps, so you need to have this script in your PATH
 
@@ -23,7 +27,7 @@ It only contains a python tuple of dictionaries. That's the one you need for all
 
 plotMem.py and plotSpeedup.py each take as input this extractedData and plot stuff mem/speedup with respect to parallelism level (nb threads*nb jobs)
 
-Finally plotAlgoUsage.py and hivetimeline.py are different as they take in input a csv file of one single test and they plot what happened during that test.
+plotAlgoUsage.py and hivetimeline.py are different as they take in input a csv file of one single test and they plot what happened during that test.
   - plotAlgoUsage.py plots a pie chart of the relative time spent in the different algorithms during the test
   - hivetimeline.py plots the timeline of the job, with the scheduling of each algo and event on each core.
     Take care that this one will not work so well with many events. You probably want to have no more than a few 10s per thread. One trick is to just take the head -1000 of the csv file and see the start of the job
diff --git a/runTest.py b/runTest.py
index da000b9a..11164aa1 100644
--- a/runTest.py
+++ b/runTest.py
@@ -32,9 +32,9 @@ def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     outputFile.write('mbrunel.RunFastForwardFitter = False\n')
     outputFile.close()
     # return temp file name
-    return configFileName    
+    return configFileName
 
-def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs, useHive):
+def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs, useHive, nbNumaNodes):
     '''Run a test with the given options'''
     # start the different processes in parallel
     processes = []
@@ -44,8 +44,14 @@ def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjo
         configFileName = prepareInput(inputFileName, outputFileName, threads, threads*events, useHive)
         # open log file
         outputFile = open("%s.log" % outputFileName, 'w')
+        # build command line
+        cmdLine = ["lbsmaps", "-o", "%s.xml" % outputFileName, "gaudirun.py", configFileName]
+        # deal with numa if needed
+        if nbNumaNodes > 1:
+            node = jobNb % nbNumaNodes
+            cmdLine = ["numactl", "-N", str(node), "--"] + cmdLine
         # run the test
-        processes.append((subprocess.Popen(["lbsmaps", "-o", "%s.xml" % outputFileName, "gaudirun.py", configFileName], stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
+        processes.append((subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
     # wait for all processes and massage output
     for (process, outputFile, configFileName) in processes:
         process.wait()
@@ -63,8 +69,8 @@ def main():
                         help='list of nb of jobs to run the test for, comma separated')
     group.add_argument('-p', '--points', type=str,
                         help='explicit list of points (ie nb threads:nbjobs) to run the test for, comma separated')
-    parser.add_argument('-m', '--maxthreads', type=int, default='64',
-                        help='maximum number of threads allowed. This allows to ignore some combinations of -t and -j that would lead to too many concurrent threads.')
+    parser.add_argument('-m', '--maxthreads', type=int, default='-1',
+                        help='maximum number of threads allowed. This allows to ignore some combinations of -t and -j that would lead to too many concurrent threads. Defaults to -1, that is disabled')
     parser.add_argument('-n', '--events', default=1000, type=int,
                         help='nb of events to process per thread')
     parser.add_argument('-e', '--firstevent', default=0, type=int,
@@ -75,31 +81,56 @@ def main():
                         help='nb of first run, default is 0')
     parser.add_argument('-o', '--onlyhive', action='store_true',
                         help='whether to only run in hive mode, not running non hive cases')
+    parser.add_argument('--numa', action='store_true',
+                        help='whether to respect numa domains. If true, numactl is used to launch jobs in domains in a round-robin fashion')
+    group.add_argument('--bestPoints', action='store_true',
+                        help='let the tool run for the best combinations of threads and jobs for the node (checking number of cores and respecting numa settings)')
     parser.add_argument('inputFileName', type=str,
                         help='Input file name. Needs to have enough events for feeding 1 thread. Then it will be reused')
     args = parser.parse_args()
-    # check options
-    if args.points:
+
+    # deal with numa config
+    nbNumaNodes = 1
+    if args.numa:
+        try:
+            output = subprocess.check_output(["numactl", "-show"])
+            nodeline = [line for line in output.split('\n') if line.startswith('nodebind')][0]
+            nbNumaNodes = len(nodeline.split()) - 1
+        except:
+            # numactl not existing
+            print 'Warning : --numa given but numactl not found, ignoring --numa'
+
+    # deal with list of points to use for the test
+    if args.bestPoints:
+        output = subprocess.check_output(["lscpu"])
+        cpuline = [line for line in output.split('\n') if line.startswith('CPU(s):')][0]
+        nbCores = int(cpuline.split()[-1])
+        nbCoresPerNumaNode = nbCores / nbNumaNodes
+        # fully threaded points : one job per numa node
+        points = [(nbCoresPerNumaNode, nbNumaNodes), (nbCoresPerNumaNode+2, nbNumaNodes), (nbCoresPerNumaNode+4, nbNumaNodes)]
+        # 2 jobs per numa node
+        points += [(nbCoresPerNumaNode/2, 2*nbNumaNodes), (nbCoresPerNumaNode/2+1, 2*nbNumaNodes), (nbCoresPerNumaNode/2+2, 2*nbNumaNodes)]
+    elif args.points:
         points = [map(int, item.split(':')) for item in args.points.split(',')]
     else:
         nbthreads = map(int,args.threads.split(','))
         nbjobs = map(int,args.jobs.split(','))
         points = itertools.product(nbthreads, nbjobs)
-    print list(points)
-        
+    print "Lists of configurations used (nbThreads, nbJobs) :", list(points)
+
     for nthreads, njobs in points:
         # check total number of threads
-        if nthreads * njobs > args.maxthreads:
+        if args.maxthreads > 0 and nthreads * njobs > args.maxthreads:
             continue
         # run the test the specified number of times
         for i in range(args.runs):
             outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.hive.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
-            runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True)
+            runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True, nbNumaNodes)
         # in case of single thread, maybe also run non hive mode
         if nthreads == 1 and not args.onlyhive:
             for i in range(args.runs):
                 outputFilebaseName = 'MiniBrunel-HTL1.%s.1t.%dj.nohive.%de.%d.%%d' % (os.environ['CMTCONFIG'], njobs, args.events, args.firstrun+i)
-                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False)
+                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False, nbNumaNodes)
 
 if __name__ == '__main__':
     sys.exit(main())
-- 
GitLab


From 430b0ffbf06dd2be0f99edf47620cbd7b41b8b5b Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 13:04:13 +0100
Subject: [PATCH 25/96] Added script computing max throughput from the
 extractedData coming from extract.py

---
 Readme.md            |  2 ++
 computeThroughput.py | 20 ++++++++++++++++++++
 2 files changed, 22 insertions(+)
 create mode 100644 computeThroughput.py

diff --git a/Readme.md b/Readme.md
index e3b7876f..4bdec4af 100644
--- a/Readme.md
+++ b/Readme.md
@@ -25,6 +25,8 @@ Put them in a given directory before you use the other scripts.
 extract.py is the next one you may use : you give it a directory full of log, csv and xml files and it parses all of them to extract the key numbers into a file called extractedData (yes, hardcoded name, to be changed).
 It only contains a python tuple of dictionaries. That's the one you need for all subsequent plots.
 
+computeTroughput.py computes a single throughput number from the extractedData file. This number is the average of the 6 best throughputs achieved.
+
 plotMem.py and plotSpeedup.py each take as input this extractedData and plot stuff mem/speedup with respect to parallelism level (nb threads*nb jobs)
 
 plotAlgoUsage.py and hivetimeline.py are different as they take in input a csv file of one single test and they plot what happened during that test.
diff --git a/computeThroughput.py b/computeThroughput.py
new file mode 100644
index 00000000..09431bc6
--- /dev/null
+++ b/computeThroughput.py
@@ -0,0 +1,20 @@
+import sys
+
+times, mems = eval(open(sys.argv[1]).read())
+
+# Extract data from input
+if len(times.keys()) > 1:
+    print "Not supporting mixed CMTCONFIG, giving up"
+    sys.exit(-1)
+times = times[times.keys()[0]]
+
+# go though full list of points and extract throughput for each
+scores = []
+for nt, nj, useHive in times:
+    nbEvents, duration = times[(nt,nj,useHive)]
+    throughput = nbEvents/duration
+    scores.append(throughput)
+
+# find best scores and average them
+sscores = sorted(scores)[::-1][:6]
+print sum(sscores)/len(sscores)
-- 
GitLab


From 7e487b190ef20b31a80e59d818e547c6bf728bb5 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 16:13:48 +0100
Subject: [PATCH 26/96] Added a script to measure throughput of a machine

---
 Readme.md            |  4 +++-
 computeThroughput.py |  5 +++++
 extract.py           |  5 +++++
 measureThroughput.sh | 25 +++++++++++++++++++++++++
 runTest.py           |  0
 5 files changed, 38 insertions(+), 1 deletion(-)
 mode change 100644 => 100755 computeThroughput.py
 mode change 100644 => 100755 extract.py
 create mode 100755 measureThroughput.sh
 mode change 100644 => 100755 runTest.py

diff --git a/Readme.md b/Readme.md
index 4bdec4af..edb02c82 100644
--- a/Readme.md
+++ b/Readme.md
@@ -1,5 +1,5 @@
 This repository provides a set of scripts to ease benchmarking of Minibrunel.
-You will find there 7 scripts and here is a short description of each of them
+You will find there 8 scripts and here is a short description of each of them
 
 The first one to use if runTest.py, I let you guess what it does.
 Check the help, but main things you want to know are :
@@ -33,3 +33,5 @@ plotAlgoUsage.py and hivetimeline.py are different as they take in input a csv f
   - plotAlgoUsage.py plots a pie chart of the relative time spent in the different algorithms during the test
   - hivetimeline.py plots the timeline of the job, with the scheduling of each algo and event on each core.
     Take care that this one will not work so well with many events. You probably want to have no more than a few 10s per thread. One trick is to just take the head -1000 of the csv file and see the start of the job
+
+measureThroughput.sh wraps up all the rest to compute the reference throughput of a machine by running test, extracting throughputs and evraging them. It is a light wrapper around runTest, extract and computeThroughput
\ No newline at end of file
diff --git a/computeThroughput.py b/computeThroughput.py
old mode 100644
new mode 100755
index 09431bc6..f61e219a
--- a/computeThroughput.py
+++ b/computeThroughput.py
@@ -1,3 +1,8 @@
+#!/usr/bin/env python
+"""Compute reference throughput from the extracted data of a MiniBrunel benchmark"""
+
+__author__ = "Sebastien Ponce"
+
 import sys
 
 times, mems = eval(open(sys.argv[1]).read())
diff --git a/extract.py b/extract.py
old mode 100644
new mode 100755
index 87721856..0e2c852a
--- a/extract.py
+++ b/extract.py
@@ -1,3 +1,8 @@
+#!/usr/bin/env python
+"""Extracts throughputs from a set of log/csv files resulting from running a MiniBrunel benchmark"""
+
+__author__ = "Sebastien Ponce"
+
 import sys, os, csv
 from multiprocessing import Pool
 
diff --git a/measureThroughput.sh b/measureThroughput.sh
new file mode 100755
index 00000000..f5572071
--- /dev/null
+++ b/measureThroughput.sh
@@ -0,0 +1,25 @@
+#!/bin/sh
+
+# create a temporary directory for benchmark logs
+rm -rf results
+mkdir results
+cd results
+
+# run effectively the benchmark
+runTest.py --bestPoints -n 10000 --numa $1
+
+# extract throughput from the logs
+extract.py . >& /dev/null
+cd ..
+
+# compute final number
+throughput=$(computeThroughput.py results/extractedData 2>&1)
+
+# tar and zip the logs
+tar cjf results.tgz results
+
+# cleanup
+rm -rf results
+
+# spit out the output
+echo "Throughput : $throughput"
diff --git a/runTest.py b/runTest.py
old mode 100644
new mode 100755
-- 
GitLab


From a95f689cea5a10791dd360aeea0b05276baef842 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 18:03:37 +0100
Subject: [PATCH 27/96] Use new HLT1BestPerf attribute of MiniBrunel
 Configurable

---
 runTest.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/runTest.py b/runTest.py
index 11164aa1..71d7429c 100755
--- a/runTest.py
+++ b/runTest.py
@@ -23,8 +23,8 @@ def prepareInput(inputFileName, outputFileName, threads, events, useHive):
         outputFile.write('mbrunel.ThreadPoolSize = %d\n' % threads)
         outputFile.write('mbrunel.EventSlots = %d\n' % (2*threads))
     outputFile.write('mbrunel.GECCut = 11500\n')
-    #outputFile.write('mbrunel.IPCut = 0.1\n')
     outputFile.write('mbrunel.HLT1Only = True\n')
+    outputFile.write('mbrunel.HLT1BestPerf = True\n')
     outputFile.write('mbrunel.EnableHive = %s\n' % useHive)
     outputFile.write('mbrunel.HLT1Fitter = True\n')
     outputFile.write('mbrunel.InputData = ["%s"]*%d\n' % (inputFileName, threads))
-- 
GitLab


From 711da9fc6eb27f39a9fd0d382155bf3167fa3cf5 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 18:04:23 +0100
Subject: [PATCH 28/96] Dropped memory measurements by default and added
 --memory flag to get it back

---
 runTest.py | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/runTest.py b/runTest.py
index 71d7429c..ccc7cb6d 100755
--- a/runTest.py
+++ b/runTest.py
@@ -34,7 +34,7 @@ def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     # return temp file name
     return configFileName
 
-def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs, useHive, nbNumaNodes):
+def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs, useHive, nbNumaNodes, measureMem):
     '''Run a test with the given options'''
     # start the different processes in parallel
     processes = []
@@ -45,7 +45,10 @@ def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjo
         # open log file
         outputFile = open("%s.log" % outputFileName, 'w')
         # build command line
-        cmdLine = ["lbsmaps", "-o", "%s.xml" % outputFileName, "gaudirun.py", configFileName]
+        cmdLine = ["gaudirun.py", configFileName]
+        # memory measurement
+        if measureMem:
+            cmdLine = ["lbsmaps", "-o", "%s.xml" % outputFileName] + cmdLine
         # deal with numa if needed
         if nbNumaNodes > 1:
             node = jobNb % nbNumaNodes
@@ -85,6 +88,8 @@ def main():
                         help='whether to respect numa domains. If true, numactl is used to launch jobs in domains in a round-robin fashion')
     group.add_argument('--bestPoints', action='store_true',
                         help='let the tool run for the best combinations of threads and jobs for the node (checking number of cores and respecting numa settings)')
+    group.add_argument('--memory', action='store_true',
+                        help='activates memory measurements')
     parser.add_argument('inputFileName', type=str,
                         help='Input file name. Needs to have enough events for feeding 1 thread. Then it will be reused')
     args = parser.parse_args()
@@ -125,12 +130,12 @@ def main():
         # run the test the specified number of times
         for i in range(args.runs):
             outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.hive.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
-            runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True, nbNumaNodes)
+            runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True, nbNumaNodes, args.memory)
         # in case of single thread, maybe also run non hive mode
         if nthreads == 1 and not args.onlyhive:
             for i in range(args.runs):
                 outputFilebaseName = 'MiniBrunel-HTL1.%s.1t.%dj.nohive.%de.%d.%%d' % (os.environ['CMTCONFIG'], njobs, args.events, args.firstrun+i)
-                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False, nbNumaNodes)
+                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False, nbNumaNodes, args.memory)
 
 if __name__ == '__main__':
     sys.exit(main())
-- 
GitLab


From cb921720c9f195acebcf1b6b22907a3cbeac0017 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 28 Feb 2018 18:08:01 +0100
Subject: [PATCH 29/96] Proper naming of tar file compressed with bzip

---
 measureThroughput.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/measureThroughput.sh b/measureThroughput.sh
index f5572071..860265b5 100755
--- a/measureThroughput.sh
+++ b/measureThroughput.sh
@@ -16,7 +16,7 @@ cd ..
 throughput=$(computeThroughput.py results/extractedData 2>&1)
 
 # tar and zip the logs
-tar cjf results.tgz results
+tar cjf results.tbz results
 
 # cleanup
 rm -rf results
-- 
GitLab


From 903475f402a30a5455e53108bdfa943fc8140ddd Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 5 Mar 2018 17:37:39 +0100
Subject: [PATCH 30/96] Enable HLTEventLoopMgr for benchmark tests

---
 runTest.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/runTest.py b/runTest.py
index ccc7cb6d..9b04c6e7 100755
--- a/runTest.py
+++ b/runTest.py
@@ -30,6 +30,7 @@ def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     outputFile.write('mbrunel.InputData = ["%s"]*%d\n' % (inputFileName, threads))
     outputFile.write('mbrunel.TimelineFile = "%s.csv"\n' % outputFileName)
     outputFile.write('mbrunel.RunFastForwardFitter = False\n')
+    outputFile.write('mbrunel.EnableHLTEventLoopMgr = True\n')
     outputFile.close()
     # return temp file name
     return configFileName
-- 
GitLab


From 68de43ce2632b56c1bf443eb09d714fba7702d56 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Mon, 5 Mar 2018 17:39:07 +0100
Subject: [PATCH 31/96] Ignore checksum checking when reading MDF in benchmarks

---
 runTest.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/runTest.py b/runTest.py
index 9b04c6e7..c9044249 100755
--- a/runTest.py
+++ b/runTest.py
@@ -31,6 +31,7 @@ def prepareInput(inputFileName, outputFileName, threads, events, useHive):
     outputFile.write('mbrunel.TimelineFile = "%s.csv"\n' % outputFileName)
     outputFile.write('mbrunel.RunFastForwardFitter = False\n')
     outputFile.write('mbrunel.EnableHLTEventLoopMgr = True\n')
+    outputFile.write('mbrunel.IgnoreChecksum = True\n')
     outputFile.close()
     # return temp file name
     return configFileName
-- 
GitLab


From 95453eef44b55967fdc33602b8c122ac43ba132b Mon Sep 17 00:00:00 2001
From: Niklas Nolte <niklas.nolte@cern.ch>
Date: Wed, 19 Sep 2018 15:30:32 +0000
Subject: [PATCH 32/96] get time between algorithms and within as extracted
 from timeline.csv and plot the algousage aswell..

---
 timeBetweenWithin_AndPlot.py | 66 ++++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 timeBetweenWithin_AndPlot.py

diff --git a/timeBetweenWithin_AndPlot.py b/timeBetweenWithin_AndPlot.py
new file mode 100644
index 00000000..4e50eb07
--- /dev/null
+++ b/timeBetweenWithin_AndPlot.py
@@ -0,0 +1,66 @@
+#usage (i)python parse_timelineInformation.py path/to/timeline.csv
+from __future__ import print_function
+import numpy as np
+from sys import argv
+import pandas as pd
+import matplotlib.pyplot as plt
+
+#parse from csv file
+full_data = pd.read_csv(argv[1], delimiter= ' ')
+
+data_split_names = full_data.groupby('algorithm')
+data_split_thread = full_data.groupby('thread')
+
+total_sum_within_algs = 0 #sum of time taken within all algorithms
+total_sum_between_algs = 0 #sum of time taken between each two adjacent algorithms
+total_sum_between_events = 0 #startup time of an event?
+
+for datatup in data_split_thread:
+    data = datatup[1]
+    sum_within_algs = 0
+    sum_between_algs = 0
+
+    for i in range(len(data)):
+        sum_within_algs += data.iloc[i]['end'] - data.iloc[i]['#start']
+    for i in range(len(data)-1):
+        sum_between_algs += data.iloc[i+1]['#start'] - data.iloc[i]['end']
+        if data.iloc[i+1]['event'] != data.iloc[i]['event']:
+            total_sum_between_events += data.iloc[i+1]['#start'] - data.iloc[i]['end']
+
+    total_sum_within_algs += sum_within_algs
+    total_sum_between_algs += sum_between_algs
+
+
+
+print("\ntotal sum of time between algs: {}".format(total_sum_between_algs))
+print("startup time (time between events) : {}".format(total_sum_between_events))
+print("This is about {:.1f}% of the total in-between time (between event / between algs)".format(total_sum_between_events*100./total_sum_between_algs))
+print("--------------------------------------------------------")
+print("total sum of time within algs: {}".format(total_sum_within_algs))
+print("about {:.1f}% of the total time is used between algs (between / (within+between))".format(total_sum_between_algs*100./(total_sum_within_algs+total_sum_between_algs)))
+print("--------------------------------------------------------")
+
+
+algtimes = dict()
+for datatup in data_split_names:
+    data = datatup[1]
+    sum_alg_time = 0
+    for i in range(len(data)):
+        sum_alg_time += data.iloc[i]['end'] - data.iloc[i]['#start']
+
+    algtimes[datatup[0]] = sum_alg_time #data[0,2] = algorithm name
+
+
+#final summary
+for k,v in algtimes.items():
+    print( "total time of {}: {}".format(k,v))
+
+algtimes_sorted = dict(sorted(algtimes.items(), key=lambda x:x[1]))
+
+plt.barh(range(len(algtimes_sorted)), list(algtimes_sorted.values()), align='center')
+plt.yticks(range(len(algtimes_sorted)), list(algtimes_sorted.keys()))
+
+if len(argv) == 3:
+    plt.savefig(argv[2])
+
+plt.show()
-- 
GitLab


From c7267b6b9c62c74b94a531ebdaf3befddabec6cb Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maszyman@cern.ch>
Date: Mon, 5 Feb 2018 10:40:10 +0100
Subject: [PATCH 33/96] fixes for pr test

---
 extract.py       |  4 ++--
 plotAlgoUsage.py |  2 +-
 plotSpeedup.py   | 12 +++++++++---
 3 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/extract.py b/extract.py
index 0e2c852a..cee146db 100755
--- a/extract.py
+++ b/extract.py
@@ -54,7 +54,7 @@ def extractTimes(allEvents):
             if events[ne][0] < startTime or events[ne][1] > endTime: continue
             nbEvts += 1
     return nbEvts, startTime, endTime
-    
+
 resTime = {}
 
 # list files per type and key (for csv ones)
@@ -110,7 +110,7 @@ for cmtconfig in csvFiles:
             for fileName in csvFiles[cmtconfig][key][run]:
                 print 'using file %s              \r' % fileName,
                 sys.stdout.flush()
-                results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, fileName)]))
+                results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, os.path.basename(fileName))]))
             for result in results:
                 allEvents.append(result.get())
             nbevts, startTime, endTime = extractTimes(allEvents)
diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
index 12bacdd4..54aaa3f2 100644
--- a/plotAlgoUsage.py
+++ b/plotAlgoUsage.py
@@ -44,4 +44,4 @@ plt.axes(aspect=1)
 plt.pie(cdata.values(), [0.02] * len(cdata.keys()), cdata.keys(), autopct='%1.1f%%', shadow=True, startangle=90, colors=colors)
 #plt.title('Throughput : %.1f evts/s/thread' % throughput)
 #plt.title('Time Usage in MiniBrunel')
-plt.show()
+plt.savefig('./algousage.png')
diff --git a/plotSpeedup.py b/plotSpeedup.py
index 152f6c8b..371c50bc 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -108,13 +108,21 @@ plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
 plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
+max_throughput = 0
+max_nt = 1
+
 # plot all dots
 for nt in sorted(points.keys()):
     if nt == 1:
         continue
     xps, yps = zip(*points[nt])
+    if max(yps) > max_throughput:
+        max_throughput = max(yps)
+        max_nt = nt
     plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt])
 
+print max_throughput, nt
+
 # rework labels
 ax = plt.axes()
 # handles,labels = ax.get_legend_handles_labels()
@@ -127,6 +135,4 @@ ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
 
-plt.show()
-
-
+plt.savefig('./throughput.png')
-- 
GitLab


From 1e43701e5046e65c5576006dc644c9295f80d19a Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <Maciej Szymanski maszyman@cern.ch>
Date: Mon, 5 Feb 2018 23:09:13 +0100
Subject: [PATCH 34/96] fixes for non-interactive running

---
 extract.py       |  2 +-
 plotAlgoUsage.py |  2 ++
 plotSpeedup.py   | 23 +++++++++++++----------
 3 files changed, 16 insertions(+), 11 deletions(-)

diff --git a/extract.py b/extract.py
index cee146db..63c903f5 100755
--- a/extract.py
+++ b/extract.py
@@ -108,7 +108,7 @@ for cmtconfig in csvFiles:
             pool = Pool()
             results = []
             for fileName in csvFiles[cmtconfig][key][run]:
-                print 'using file %s              \r' % fileName,
+                print 'using file %s/%s              \r' % (d, os.path.basename(fileName)),
                 sys.stdout.flush()
                 results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, os.path.basename(fileName))]))
             for result in results:
diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
index 54aaa3f2..f84987f0 100644
--- a/plotAlgoUsage.py
+++ b/plotAlgoUsage.py
@@ -1,5 +1,7 @@
 import sys
 import numpy
+import matplotlib
+matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 
diff --git a/plotSpeedup.py b/plotSpeedup.py
index 371c50bc..a05728db 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -1,5 +1,7 @@
 import sys
 import numpy
+import matplotlib
+matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 import matplotlib.patches as patches
@@ -93,24 +95,25 @@ for nt, nj, useHive in times:
         points[nt].append((nt*nj, nbEvents/duration))
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
-
 # get envelop
-xenv, yenv = getEnvelop(sum(points.values(), []))
-mjline = extrapolatePoints(sorted(points[1]), xenv)
-nhline = extrapolatePoints(sorted(pointsNH), xenv)
+# xenv, yenv = getEnvelop(sum(points.values(), []))
+# mjline = extrapolatePoints(sorted(points[1]), xenv)
+# nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
-# Setup colors 
-colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+# # Setup colors 
+#colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 
-# plot and fill envelop, multi-job and non hive
-plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
-plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
-plt.plot(xenv, yenv, label='best hive perf', color='black')
+# # plot and fill envelop, multi-job and non hive
+# plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+# plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
+# plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 max_throughput = 0
 max_nt = 1
 
+#xenv, yenv = getEnvelop(sum(pointsNH.values(), []))
+colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 # plot all dots
 for nt in sorted(points.keys()):
     if nt == 1:
-- 
GitLab


From d9b8fe5ec3ad4c38db05ea0d440d673a39cba358 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 8 Feb 2018 10:48:57 +0000
Subject: [PATCH 35/96] plot best hive perf

---
 plotSpeedup.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index a05728db..806ae52a 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -96,7 +96,7 @@ for nt, nj, useHive in times:
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
 # get envelop
-# xenv, yenv = getEnvelop(sum(points.values(), []))
+xenv, yenv = getEnvelop(sum(points.values(), []))
 # mjline = extrapolatePoints(sorted(points[1]), xenv)
 # nhline = extrapolatePoints(sorted(pointsNH), xenv)
 
@@ -106,7 +106,7 @@ for nt, nj, useHive in times:
 # # plot and fill envelop, multi-job and non hive
 # plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
 # plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
-# plt.plot(xenv, yenv, label='best hive perf', color='black')
+plt.plot(xenv, yenv, label='best hive perf', color='black')
 #plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 
 max_throughput = 0
-- 
GitLab


From 4bddb8130c7ef81670b39c721ea985bb387cfd5b Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 8 Feb 2018 12:24:00 +0000
Subject: [PATCH 36/96] prettier plot

---
 plotSpeedup.py | 22 ++++++++++++----------
 1 file changed, 12 insertions(+), 10 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index 806ae52a..ab16e17d 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -97,17 +97,19 @@ for nt, nj, useHive in times:
         pointsNH.append((nt*nj, nbEvents/duration))
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
-# mjline = extrapolatePoints(sorted(points[1]), xenv)
-# nhline = extrapolatePoints(sorted(pointsNH), xenv)
-
-# # Setup colors 
-#colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
-
-# # plot and fill envelop, multi-job and non hive
-# plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
-# plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
 plt.plot(xenv, yenv, label='best hive perf', color='black')
-#plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+
+try:
+    mjline = extrapolatePoints(sorted(points[1]), xenv)
+    nhline = extrapolatePoints(sorted(pointsNH), xenv)
+    # # Setup colors 
+    #colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+    # # plot and fill envelop, multi-job and non hive
+    plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
+    plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
+    plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+except:
+    pass
 
 max_throughput = 0
 max_nt = 1
-- 
GitLab


From b5ead7b6e6ba0959221d63556a55eaf2d230ea1d Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 8 Feb 2018 12:40:43 +0000
Subject: [PATCH 37/96] cleanup

---
 plotSpeedup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index ab16e17d..d03df6ba 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -95,6 +95,7 @@ for nt, nj, useHive in times:
         points[nt].append((nt*nj, nbEvents/duration))
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
+
 # get envelop
 xenv, yenv = getEnvelop(sum(points.values(), []))
 plt.plot(xenv, yenv, label='best hive perf', color='black')
@@ -139,5 +140,4 @@ plt.legend(loc=4, ncol=2)
 ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
-
 plt.savefig('./throughput.png')
-- 
GitLab


From d6b0b1af6b1bb29f7de8d6655cd2d60853cb45d6 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Mon, 12 Feb 2018 08:00:23 +0000
Subject: [PATCH 38/96] don't plot best hive if fails

---
 plotSpeedup.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/plotSpeedup.py b/plotSpeedup.py
index d03df6ba..92f37079 100644
--- a/plotSpeedup.py
+++ b/plotSpeedup.py
@@ -96,11 +96,10 @@ for nt, nj, useHive in times:
     else:
         pointsNH.append((nt*nj, nbEvents/duration))
 
-# get envelop
-xenv, yenv = getEnvelop(sum(points.values(), []))
-plt.plot(xenv, yenv, label='best hive perf', color='black')
-
 try:
+    # get envelop
+    xenv, yenv = getEnvelop(sum(points.values(), []))
+    plt.plot(xenv, yenv, label='best hive perf', color='black')
     mjline = extrapolatePoints(sorted(points[1]), xenv)
     nhline = extrapolatePoints(sorted(pointsNH), xenv)
     # # Setup colors 
-- 
GitLab


From 27ecbfad37d2e2b55406b950cac08769f2e4bd9c Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <Sebastien.Ponce@cern.ch>
Date: Wed, 7 Nov 2018 08:54:10 +0100
Subject: [PATCH 39/96] First version of new config files for the nightlies

Not to be reused, this is only temporary, waiting for a better refactoring of options files in general.
It should however allow to go forward on topics like dropping the TimeLineSvc or mobing to RawBanks v4 for FT in the throughput tests
---
 optionFiles/CutNoFit.py     | 11 +++++++++
 optionFiles/CutWithFit.py   | 11 +++++++++
 optionFiles/HLT1BaseLine.py | 36 ++++++++++++++++++++++++++++
 optionFiles/NoCutNoFit.py   | 11 +++++++++
 optionFiles/NoCutWithFit.py | 11 +++++++++
 optionFiles/SetupHelper.py  | 47 +++++++++++++++++++++++++++++++++++++
 6 files changed, 127 insertions(+)
 create mode 100644 optionFiles/CutNoFit.py
 create mode 100644 optionFiles/CutWithFit.py
 create mode 100644 optionFiles/HLT1BaseLine.py
 create mode 100644 optionFiles/NoCutNoFit.py
 create mode 100644 optionFiles/NoCutWithFit.py
 create mode 100644 optionFiles/SetupHelper.py

diff --git a/optionFiles/CutNoFit.py b/optionFiles/CutNoFit.py
new file mode 100644
index 00000000..7ba6c376
--- /dev/null
+++ b/optionFiles/CutNoFit.py
@@ -0,0 +1,11 @@
+from HLT1BaseLine import setupHLT1Reconstruction
+from SetupHelper import setupGaudiCore, setupInput
+from GaudiKernel.SystemOfUnits import mm, GeV
+
+def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
+    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['PrForwardTrackingFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
+    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000, IPCut=True, IPCutVal=0.1*mm, VeloMinPT=0.8*GeV, FTMinPT=1.0*GeV)
+    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
+
+if __name__ == "__builtin__":
+    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/CutWithFit.py b/optionFiles/CutWithFit.py
new file mode 100644
index 00000000..8e334790
--- /dev/null
+++ b/optionFiles/CutWithFit.py
@@ -0,0 +1,11 @@
+from HLT1BaseLine import setupHLT1Reconstruction
+from SetupHelper import setupGaudiCore, setupInput
+from GaudiKernel.SystemOfUnits import mm, GeV
+
+def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
+    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['ForwardFitterAlgParamFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
+    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000, IPCut=True, IPCutVal=0.1*mm, VeloMinPT=0.8*GeV, FTMinPT=1.0*GeV)
+    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
+
+if __name__ == "__builtin__":
+    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/HLT1BaseLine.py b/optionFiles/HLT1BaseLine.py
new file mode 100644
index 00000000..8b37a26a
--- /dev/null
+++ b/optionFiles/HLT1BaseLine.py
@@ -0,0 +1,36 @@
+from SetupHelper import setupComponent, setupAlgorithm
+from GaudiKernel.SystemOfUnits import mm, GeV
+
+def setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut = -1, IPCut = False, IPCutVal = 0.1*mm, VeloMinPT = 0.3*GeV, FTMinPT = 0.3 * GeV, Fit=False):
+    '''declare all algorithm used in HLT1'''
+    evtClockSvc = setupComponent('EventClockSvc', InitialTime=1433509200000000000)
+    setupAlgorithm('Gaudi__Hive__FetchDataFromFile', appMgr, hiveDataBroker, instanceName='FetchDataFromFile', iovLockDependency=False, DataKeys = ['/Event/DAQ/RawEvent'])
+    odinPath = '/Event/DAQ/DummyODIN'
+    setupAlgorithm('LHCb__Tests__FakeEventTimeProducer', appMgr, hiveDataBroker, instanceName='DummyEventTime', iovLockDependency=False, Start=evtClockSvc.InitialTime / 1E9, Step=0, ODIN=odinPath)
+    setupAlgorithm('LHCb__DetDesc__ReserveDetDescForEvent', appMgr, hiveDataBroker, instanceName='ReserveIOV', iovLockDependency=False, ODIN=odinPath)
+    setupAlgorithm('createODIN', appMgr, hiveDataBroker, iovLockDependency=False)
+    setupAlgorithm('PrPixelTracking', appMgr, hiveDataBroker, HardFlagging = True, SkipLoopSens = True, MaxMissedOnTrack = 2, MaxMissedConsecutive = 1, PhiWindow = 2.5, PhiWindowExtrapolation = 2.5, ModulesToSkip = [], EarlyKill3HitTracks = True, UsePhiPerRegionsForward = False, BoostPhysics = False)
+    setupAlgorithm('FTRawBankDecoder', appMgr, hiveDataBroker, instanceName='createFTClusters', RawEventLocations = "/Event/DAQ/RawEvent")
+    prFwdTracking = setupAlgorithm('PrForwardTracking', appMgr, hiveDataBroker, instanceName='PrForwardTrackingFast')
+    from Configurables import PrForwardTool
+    prFwdTracking.addTool(PrForwardTool, "PrForwardTool")
+    prFwdTracking.PrForwardTool.MinPT = FTMinPT
+    setupAlgorithm('VSPClus', appMgr, hiveDataBroker, instanceName='VSPClustering')
+    if GECCut > 0:
+        setupAlgorithm('PrGECFilter', appMgr, hiveDataBroker)
+    else:
+        setupAlgorithm('PrGECFilter', appMgr, hiveDataBroker, NumberFTUTClusters = GECCut)        
+    setupAlgorithm('PrStoreFTHit', appMgr, hiveDataBroker)
+    setupAlgorithm('PrStoreUTHit', appMgr, hiveDataBroker, skipBanksWithErrors = True)
+    setupAlgorithm('PatPV3D', appMgr, hiveDataBroker)
+    setupAlgorithm('PrVeloUT', appMgr, hiveDataBroker, instanceName='PrVeloUTFast', doIPCut=IPCut, minIP=IPCutVal, minPT=VeloMinPT)
+    #trackFitInputLocation = 'Rec/Track/ForwardAsTrackV1'
+    #setupAlgorithm('LHCb__Converters__Track__v1__fromV2TrackV1TrackVector', appMgr, hiveDataBroker, instanceName='FromV2TrackV1TrackVector', InputTracksName="Rec/Track/Forward", OutputTracksName=trackFitInputLocation)
+    from Configurables import MeasurementProviderT_MeasurementProviderTypes__UTLite_
+    fitter = setupAlgorithm('ParameterizedKalmanFit', appMgr, hiveDataBroker, instanceName='ForwardFitterAlgParamFast', InputName="Rec/Track/Forward", OutputName="Rec/Track/FittedForward", MaxNumOutlier=2, MeasProvider_UT=MeasurementProviderT_MeasurementProviderTypes__UTLite_())
+    from Configurables import TrackMasterExtrapolator, SimplifiedMaterialLocator
+    fitter.addTool( TrackMasterExtrapolator, name="extr")
+    fitter.extr.ApplyMultScattCorr = True
+    fitter.extr.ApplyEnergyLossCorr = False
+    fitter.extr.ApplyElectronEnergyLossCorr = True
+    fitter.extr.addTool(SimplifiedMaterialLocator, name = "MaterialLocator")
diff --git a/optionFiles/NoCutNoFit.py b/optionFiles/NoCutNoFit.py
new file mode 100644
index 00000000..955bd54a
--- /dev/null
+++ b/optionFiles/NoCutNoFit.py
@@ -0,0 +1,11 @@
+from HLT1BaseLine import setupHLT1Reconstruction
+from SetupHelper import setupGaudiCore, setupInput
+from GaudiKernel.SystemOfUnits import mm, GeV
+
+def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
+    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['PrForwardTrackingFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
+    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000)
+    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
+
+if __name__ == "__builtin__":
+    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/NoCutWithFit.py b/optionFiles/NoCutWithFit.py
new file mode 100644
index 00000000..f359c23f
--- /dev/null
+++ b/optionFiles/NoCutWithFit.py
@@ -0,0 +1,11 @@
+from HLT1BaseLine import setupHLT1Reconstruction
+from SetupHelper import setupGaudiCore, setupInput
+from GaudiKernel.SystemOfUnits import mm, GeV
+
+def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
+    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['ForwardFitterAlgParamFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
+    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000)
+    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
+
+if __name__ == "__builtin__":
+    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/SetupHelper.py b/optionFiles/SetupHelper.py
new file mode 100644
index 00000000..ea8f3eda
--- /dev/null
+++ b/optionFiles/SetupHelper.py
@@ -0,0 +1,47 @@
+'''
+  this file provides helper functions symplifying configuration of a Gaudi application
+'''
+def setupComponent(name, instanceName=None, packageName='Configurables', **kwargs):
+    if instanceName == None:
+        instanceName = name
+    imported = getattr(__import__(packageName, fromlist=[name]), name)
+    return imported(instanceName, **kwargs)
+
+def _addIOVLockDependency(configurable):
+    if hasattr(configurable, 'ExtraInputs') and '/Event/IOVLock' not in configurable.ExtraInputs:
+        configurable.ExtraInputs.append('/Event/IOVLock')
+
+def setupAlgorithm(name, appMgr, hiveDataBroker, instanceName=None, iovLockDependency=True, **kwargs):
+    # import and create configurable
+    configurable = setupComponent(name, instanceName=instanceName, **kwargs)
+    # work  around limitations in IOVLock implementation
+    if iovLockDependency:
+        _addIOVLockDependency(configurable)
+    # register it to the applicationManager and hiveDataBroker
+    hiveDataBroker.DataProducers.append(configurable)
+    appMgr.TopAlg.append(configurable)
+    return configurable
+
+def setupGaudiCore(topAlgs, nbEventSlots, threadPoolSize, evtMax):
+    whiteboard = setupComponent('HiveWhiteBoard', instanceName="EventDataSvc", EventSlots=nbEventSlots, ForceLeaves = True)
+    eventloopmgr = setupComponent('HLTControlFlowMgr',
+                                  CompositeCFNodes = [( 'moore', 'NONLAZY_AND', topAlgs, True ),],
+                                  ThreadPoolSize = threadPoolSize)
+    appMgr = setupComponent('ApplicationMgr', packageName='Gaudi.Configuration',  EventLoop = eventloopmgr, EvtMax=evtMax)
+    appMgr.ExtSvc.insert(0, whiteboard)
+    setupComponent('UpdateManagerSvc', WithoutBeginEvent=True)
+    hiveDataBroker = setupComponent('HiveDataBrokerSvc')
+    return appMgr, hiveDataBroker
+
+def setupInput(inputFiles, fileType, dataType, DDDBTag, CONDDBTag, Simulation):
+    from GaudiConf import IOHelper
+    iohelper = IOHelper(fileType, fileType)
+    iohelper.setupServices()
+    evtSel = iohelper.inputFiles(inputFiles)
+    inputs = []
+    for inp in evtSel.Input:
+        inputs.append(inp +" IgnoreChecksum='YES'")
+    evtSel.Input = inputs
+    evtSel.PrintFreq = 10000
+    dddb = setupComponent('DDDBConf', Simulation = True, DataType = dataType)
+    conddb = setupComponent('CondDB', Upgrade = True, Tags = { "DDDB": DDDBTag, "SIMCOND" : CONDDBTag })
-- 
GitLab


From 3c27625c917751206640e8e96a2ac39414646b84 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 7 Nov 2018 12:07:29 +0100
Subject: [PATCH 40/96] Fixed default setup of AlgoConfig in PrPixelTracking

---
 optionFiles/HLT1BaseLine.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/optionFiles/HLT1BaseLine.py b/optionFiles/HLT1BaseLine.py
index 8b37a26a..c24ae8cb 100644
--- a/optionFiles/HLT1BaseLine.py
+++ b/optionFiles/HLT1BaseLine.py
@@ -9,7 +9,7 @@ def setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut = -1, IPCut = False,
     setupAlgorithm('LHCb__Tests__FakeEventTimeProducer', appMgr, hiveDataBroker, instanceName='DummyEventTime', iovLockDependency=False, Start=evtClockSvc.InitialTime / 1E9, Step=0, ODIN=odinPath)
     setupAlgorithm('LHCb__DetDesc__ReserveDetDescForEvent', appMgr, hiveDataBroker, instanceName='ReserveIOV', iovLockDependency=False, ODIN=odinPath)
     setupAlgorithm('createODIN', appMgr, hiveDataBroker, iovLockDependency=False)
-    setupAlgorithm('PrPixelTracking', appMgr, hiveDataBroker, HardFlagging = True, SkipLoopSens = True, MaxMissedOnTrack = 2, MaxMissedConsecutive = 1, PhiWindow = 2.5, PhiWindowExtrapolation = 2.5, ModulesToSkip = [], EarlyKill3HitTracks = True, UsePhiPerRegionsForward = False, BoostPhysics = False)
+    setupAlgorithm('PrPixelTracking', appMgr, hiveDataBroker, HardFlagging = True, SkipLoopSens = True, MaxMissedOnTrack = 2, MaxMissedConsecutive = 1, PhiWindow = 2.5, PhiWindowExtrapolation = 2.5, ModulesToSkip = [], EarlyKill3HitTracks = True, UsePhiPerRegionsForward = False, BoostPhysics = False, AlgoConfig="ForwardThenBackward")
     setupAlgorithm('FTRawBankDecoder', appMgr, hiveDataBroker, instanceName='createFTClusters', RawEventLocations = "/Event/DAQ/RawEvent")
     prFwdTracking = setupAlgorithm('PrForwardTracking', appMgr, hiveDataBroker, instanceName='PrForwardTrackingFast')
     from Configurables import PrForwardTool
-- 
GitLab


From 3efa9021cf05e87a23200974959d7a67afc4278e Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Thu, 8 Nov 2018 15:22:38 +0100
Subject: [PATCH 41/96] Fixed qlgos input/output and use PatPV3DFuture

---
 optionFiles/HLT1BaseLine.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/optionFiles/HLT1BaseLine.py b/optionFiles/HLT1BaseLine.py
index c24ae8cb..576e3d45 100644
--- a/optionFiles/HLT1BaseLine.py
+++ b/optionFiles/HLT1BaseLine.py
@@ -6,12 +6,14 @@ def setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut = -1, IPCut = False,
     evtClockSvc = setupComponent('EventClockSvc', InitialTime=1433509200000000000)
     setupAlgorithm('Gaudi__Hive__FetchDataFromFile', appMgr, hiveDataBroker, instanceName='FetchDataFromFile', iovLockDependency=False, DataKeys = ['/Event/DAQ/RawEvent'])
     odinPath = '/Event/DAQ/DummyODIN'
+    UTTracksLocation='Rec/Track/Upstream'
+    VeloTracksLocation='Rec/Track/Velo'
     setupAlgorithm('LHCb__Tests__FakeEventTimeProducer', appMgr, hiveDataBroker, instanceName='DummyEventTime', iovLockDependency=False, Start=evtClockSvc.InitialTime / 1E9, Step=0, ODIN=odinPath)
     setupAlgorithm('LHCb__DetDesc__ReserveDetDescForEvent', appMgr, hiveDataBroker, instanceName='ReserveIOV', iovLockDependency=False, ODIN=odinPath)
     setupAlgorithm('createODIN', appMgr, hiveDataBroker, iovLockDependency=False)
-    setupAlgorithm('PrPixelTracking', appMgr, hiveDataBroker, HardFlagging = True, SkipLoopSens = True, MaxMissedOnTrack = 2, MaxMissedConsecutive = 1, PhiWindow = 2.5, PhiWindowExtrapolation = 2.5, ModulesToSkip = [], EarlyKill3HitTracks = True, UsePhiPerRegionsForward = False, BoostPhysics = False, AlgoConfig="ForwardThenBackward")
+    setupAlgorithm('PrPixelTracking', appMgr, hiveDataBroker, OutputTracksName=VeloTracksLocation, HardFlagging = True, SkipLoopSens = True, MaxMissedOnTrack = 2, MaxMissedConsecutive = 1, PhiWindow = 2.5, PhiWindowExtrapolation = 2.5, ModulesToSkip = [], EarlyKill3HitTracks = True, UsePhiPerRegionsForward = False, BoostPhysics = False, AlgoConfig="ForwardThenBackward")
     setupAlgorithm('FTRawBankDecoder', appMgr, hiveDataBroker, instanceName='createFTClusters', RawEventLocations = "/Event/DAQ/RawEvent")
-    prFwdTracking = setupAlgorithm('PrForwardTracking', appMgr, hiveDataBroker, instanceName='PrForwardTrackingFast')
+    prFwdTracking = setupAlgorithm('PrForwardTracking', appMgr, hiveDataBroker, instanceName='PrForwardTrackingFast', InputName=UTTracksLocation)
     from Configurables import PrForwardTool
     prFwdTracking.addTool(PrForwardTool, "PrForwardTool")
     prFwdTracking.PrForwardTool.MinPT = FTMinPT
@@ -22,10 +24,9 @@ def setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut = -1, IPCut = False,
         setupAlgorithm('PrGECFilter', appMgr, hiveDataBroker, NumberFTUTClusters = GECCut)        
     setupAlgorithm('PrStoreFTHit', appMgr, hiveDataBroker)
     setupAlgorithm('PrStoreUTHit', appMgr, hiveDataBroker, skipBanksWithErrors = True)
-    setupAlgorithm('PatPV3D', appMgr, hiveDataBroker)
-    setupAlgorithm('PrVeloUT', appMgr, hiveDataBroker, instanceName='PrVeloUTFast', doIPCut=IPCut, minIP=IPCutVal, minPT=VeloMinPT)
-    #trackFitInputLocation = 'Rec/Track/ForwardAsTrackV1'
-    #setupAlgorithm('LHCb__Converters__Track__v1__fromV2TrackV1TrackVector', appMgr, hiveDataBroker, instanceName='FromV2TrackV1TrackVector', InputTracksName="Rec/Track/Forward", OutputTracksName=trackFitInputLocation)
+    setupAlgorithm('PatPV3DFuture', appMgr, hiveDataBroker, instanceName='PatPV3D', InputTracks=VeloTracksLocation)
+    setupAlgorithm('TrackBeamLineVertexFinder', appMgr, hiveDataBroker)
+    setupAlgorithm('PrVeloUT', appMgr, hiveDataBroker, instanceName='PrVeloUTFast', OutputTracksName=UTTracksLocation, doIPCut=IPCut, minIP=IPCutVal, minPT=VeloMinPT)
     from Configurables import MeasurementProviderT_MeasurementProviderTypes__UTLite_
     fitter = setupAlgorithm('ParameterizedKalmanFit', appMgr, hiveDataBroker, instanceName='ForwardFitterAlgParamFast', InputName="Rec/Track/Forward", OutputName="Rec/Track/FittedForward", MaxNumOutlier=2, MeasProvider_UT=MeasurementProviderT_MeasurementProviderTypes__UTLite_())
     from Configurables import TrackMasterExtrapolator, SimplifiedMaterialLocator
-- 
GitLab


From c728ec09cdc09cff35caf58d9c2bdc8e34aa0afa Mon Sep 17 00:00:00 2001
From: Christoph Hasse <christoph.hasse@cern.ch>
Date: Tue, 22 Jan 2019 08:33:10 +0000
Subject: [PATCH 42/96] Rework benchmark to use new scheduler and new options

---
 .gitignore                                    |    3 +
 .../hivetimeline.py                           |    0
 Readme.md                                     |   45 +-
 RunThroughputJobs.py                          |  153 +++
 SetupThroughputOpts.py                        |   20 +
 computeThroughput.py                          |   25 -
 doScaling.py                                  |   52 +
 doprofile.sh                                  |   14 +
 extract.py                                    |  146 ---
 flamegraph.pl                                 | 1143 +++++++++++++++++
 lbsmaps                                       |  Bin 2629882 -> 0 bytes
 measureThroughput.sh                          |   25 -
 optionFiles/CutNoFit.py                       |   11 -
 optionFiles/CutWithFit.py                     |   11 -
 optionFiles/HLT1BaseLine.py                   |   37 -
 optionFiles/NoCutNoFit.py                     |   11 -
 optionFiles/NoCutWithFit.py                   |   11 -
 optionFiles/SetupHelper.py                    |   47 -
 plotAlgoUsage.py                              |   49 -
 plotMem.py                                    |   17 -
 plotSpeedup.py => plotScaling.py              |   77 +-
 runTest.py                                    |  146 ---
 stackcollapse-vtune.pl                        |   81 ++
 timeBetweenWithin_AndPlot.py                  |   66 -
 24 files changed, 1528 insertions(+), 662 deletions(-)
 create mode 100644 .gitignore
 rename hivetimeline.py => OtherScripts/hivetimeline.py (100%)
 create mode 100755 RunThroughputJobs.py
 create mode 100644 SetupThroughputOpts.py
 delete mode 100755 computeThroughput.py
 create mode 100644 doScaling.py
 create mode 100755 doprofile.sh
 delete mode 100755 extract.py
 create mode 100755 flamegraph.pl
 delete mode 100755 lbsmaps
 delete mode 100755 measureThroughput.sh
 delete mode 100644 optionFiles/CutNoFit.py
 delete mode 100644 optionFiles/CutWithFit.py
 delete mode 100644 optionFiles/HLT1BaseLine.py
 delete mode 100644 optionFiles/NoCutNoFit.py
 delete mode 100644 optionFiles/NoCutWithFit.py
 delete mode 100644 optionFiles/SetupHelper.py
 delete mode 100644 plotAlgoUsage.py
 delete mode 100644 plotMem.py
 rename plotSpeedup.py => plotScaling.py (76%)
 delete mode 100755 runTest.py
 create mode 100755 stackcollapse-vtune.pl
 delete mode 100644 timeBetweenWithin_AndPlot.py

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 00000000..5b11a7e4
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+__pycache__/
+*.py[cod]
+*.log
diff --git a/hivetimeline.py b/OtherScripts/hivetimeline.py
similarity index 100%
rename from hivetimeline.py
rename to OtherScripts/hivetimeline.py
diff --git a/Readme.md b/Readme.md
index edb02c82..633687bf 100644
--- a/Readme.md
+++ b/Readme.md
@@ -1,37 +1,28 @@
 This repository provides a set of scripts to ease benchmarking of Minibrunel.
-You will find there 8 scripts and here is a short description of each of them
+You will find there 7 scripts and here is a short description of each of them
+
+The first one to use is RunThroughputJobs.py, which runs a throughput test given a certain options file.
+Note that this is only supported for options files which are part of `Brunel/Rec/Brunel/python/upgrade_options`    
 
-The first one to use if runTest.py, I let you guess what it does.
 Check the help, but main things you want to know are :
-  * MiniBrunel config is hardcoded in there, you have to change it by hand at the top in prepareInput
-  * default config will run HLT1 for 1000 events per thread/job, with 1 thread, 1 job, in hive mode and without the fit
-  - -t allows to give the number of threads you want to use, for example -t 1,2,4 will run 3 times MiniBrunel with 1, 2 and 3 threads
-  - -j is similar for number of jobs
-  - all combinations of -t and -j are ran : -j 1,2 -t 1,2 will run 4 tests. you can limit for global concurrency with -m
-  - -p allows to explicit list of points (ie nb threads:nbjobs) to run the test for, comma separated. Thus -j and -t ar then ignored
-  - --bestPoints let the tool run for the 6 best combinations of threads and jobs for the node (checking number of cores). thus -p, -j and -t will be ignored
-  - -n allows to change number of event per thread/job
-  - -r allows to run several time each config, by default it's only once
-  - -o allows to run only in hive mode. By default for nbThreads=1, both hive and non-hive versions are ran
-  - --numa allows to respect numa nodes. Jobs will be launched using numactl on the different numa nodes in a round-robin fashion. So you probably want to have the number of job being a multiple of the number of numa nodes
-  - it takes a single argument : the input file name
-  - finally it internally uses lbsmaps, so you need to have this script in your PATH
+  - OptsFileName specifies the options file to be used from `Brunel/Rec/Brunel/python/upgrade_options`, only name without .py ending
+  - TestFileDBKey sets the input file one wishes to use, for actual testing please overwrite filepath to use local files see -f option.
+  - -j Defines the number of independent jobs you want to launch. Following options are per Job!
+  - -t allows to give the number of threads you want to use, for example -t 4 will use 4 threads for each job
+  - -e allows to change number of eventslots per job
+  - -n allows to change number of events per job
+  - --FTDecoVersion allows you to specify the needed decoding version for the FTDecoding
+  - --nonuma disables numa handling, if you don't know what that means, please leave it on (default).
+  - -f specify filepaths of the input files matching the TestFileDBKey
+  - --profile this will automatically use vtune to profile a single job (no multijob support) and produce a flamegraph of the result
 
 Take care when you run to use as input a file in RAMFS if you do not want to be slowed down by IO.
 
-The output of runTest.py is a set of .log, .csv and .xml files. One of each per test ran and per job of the test. They will appear in the current directory and are named after the parameters of the test.
-Put them in a given directory before you use the other scripts.
-
-extract.py is the next one you may use : you give it a directory full of log, csv and xml files and it parses all of them to extract the key numbers into a file called extractedData (yes, hardcoded name, to be changed).
-It only contains a python tuple of dictionaries. That's the one you need for all subsequent plots.
+The output of `RunThroughputJobs.py` is a set of .log files. One of each per job. They will appear in the current directory and are named after the parameters of the test.
 
-computeTroughput.py computes a single throughput number from the extractedData file. This number is the average of the 6 best throughputs achieved.
+`SetupThroughputOpts.py`, `doprofile.sh`, `flamegraph.pl`, and `stackcollapse-vtune.pl` are helper scripts used internally in `RunThroughputJobs.py`, don't worry about it.
 
-plotMem.py and plotSpeedup.py each take as input this extractedData and plot stuff mem/speedup with respect to parallelism level (nb threads*nb jobs)
+`doScaling.py` is a script that enables you to easily run the `RunThroughputJobs.py` for different number of jobs,threads,eventslots, and number of events. The options are similar to the `RunThroughputJobs.py` and are also documented in `./doScaling.py --help`.
 
-plotAlgoUsage.py and hivetimeline.py are different as they take in input a csv file of one single test and they plot what happened during that test.
-  - plotAlgoUsage.py plots a pie chart of the relative time spent in the different algorithms during the test
-  - hivetimeline.py plots the timeline of the job, with the scheduling of each algo and event on each core.
-    Take care that this one will not work so well with many events. You probably want to have no more than a few 10s per thread. One trick is to just take the head -1000 of the csv file and see the start of the job
+`plotScaling.py` is simply executed in the base folder and looks for files matching the naming convention of the produced log files of the `doScaling.py` test and then produces a plot `scalingTest.png` which shows the throughput of each tested configuration.
 
-measureThroughput.sh wraps up all the rest to compute the reference throughput of a machine by running test, extracting throughputs and evraging them. It is a light wrapper around runTest, extract and computeThroughput
\ No newline at end of file
diff --git a/RunThroughputJobs.py b/RunThroughputJobs.py
new file mode 100755
index 00000000..376c4ef1
--- /dev/null
+++ b/RunThroughputJobs.py
@@ -0,0 +1,153 @@
+#!/usr/bin/env python
+"""Runs a single job as configured via specified options file which is passed to SetupThroughputOpts.py """
+
+import re
+import os
+import sys
+import argparse
+import subprocess
+
+
+def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
+    '''Run a test with the given options'''
+
+    # open log file
+    outputFile = open("{}.log".format(OutputFileName), 'w+')
+
+    # build command line
+    cmdLine = ["gaudirun.py", str(os.path.dirname(os.path.realpath(__file__))) + "/SetupThroughputOpts.py"]
+
+    # deal with numa if needed
+    if nbNumaNodes > 1:
+        node = jobidx % nbNumaNodes
+        cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
+
+    # run the test
+    print("Launching job with cmdLine: {}".format(cmdLine))
+    process = subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT, env=modifiedEnv)
+
+    if doprofile:
+        cmdLine = ["./doprofile.sh" , str(process.pid)]
+        if nbNumaNodes > 1:
+            node = (jobidx % nbNumaNodes) + 1
+            cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
+        profprocess = subprocess.Popen(cmdLine)
+
+
+    return process, outputFile
+
+def main():
+    '''Main method : parses options and calls runJob which configures and runs a single Brunel job'''
+
+    parser = argparse.ArgumentParser(description=__doc__)
+
+    parser.add_argument('-j', '--jobs', type=int, required=True,
+                        help='nb of jobs to launch')
+
+    parser.add_argument('-t', '--threads', type=int, required=True,
+                        help='nb of threads per job')
+
+    parser.add_argument('-e', '--evtSlots', type=int, default=-1,
+                        help='nb of event slots per job (default: nb of threads per job + 10%)')
+
+    parser.add_argument('-n', '--events', default=1000, type=int,
+                        help='nb of events to process per thread (default: 1000)')
+
+    parser.add_argument('OptsFileName', type=str,
+                        help='Option file name which defines the reconstruction sequence to run.')
+
+    parser.add_argument('TestFileDBKey', type=str,
+                        help='TestFileDB key name which defines input files and tags.')
+
+    parser.add_argument('--FTDecoVersion', default=4, type=int,
+                        help='SciFi Decoding Version must match used input files (default: 4)')
+
+    parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="",
+                        help='Names of input files, multiple names possible')
+
+    parser.add_argument('--nonuma', action='store_true',
+                        help='whether to disable usage of numa domains.')
+
+    parser.add_argument('--profile', action='store_true',
+                        help='whether to enable vtune profiling - only supported for single job.')
+
+    args = parser.parse_args()
+    if args.evtSlots == -1:
+        args.evtSlots = 1+int(11*args.threads/10)
+
+    if args.profile and args.jobs >1:
+        raise RuntimeError("VTune Profile only supported for single job")
+
+    try:
+        with open(os.devnull, 'w') as FNULL:
+            subprocess.check_call(['amplxe-cl', '--help'], stdout=FNULL )
+    except:
+        if args.profile:
+            raise RuntimeError("can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
+        else:
+            print("Warning: can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
+
+    try:
+        with open(os.devnull, 'w') as FNULL:
+            subprocess.check_call(['gaudirun.py', '--help'], stdout=FNULL )
+    except:
+        raise RuntimeError("can't execute gaudirun.py, please make sure that you are in a Brunel environment")
+
+    # deal with numa config
+    nbNumaNodes = 1
+    if not args.nonuma:
+        try:
+            output = subprocess.check_output(["numactl", "-show"])
+            nodeline = [line for line in output.split('\n') if line.startswith('nodebind')][0]
+            nbNumaNodes = len(nodeline.split()) - 1
+            if(nbNumaNodes != args.jobs) and not args.profile:
+                print("Warning: There are {} available numa nodes but you are launching {} jobs".format(nbNumaNodes, args.jobs))
+        except:
+            # numactl not existing
+            print 'Warning : -- numactl not found, running without setting numa nodes --'
+
+
+    # check how many threads the cpu actually has
+    cputhreads = int(subprocess.check_output(["lscpu", "-e=CPU"]).split('\n')[-2]) + 1
+
+    # check total number of threads
+    if args.jobs*args.threads > cputhreads:
+        print("CPU seems to only have {} threads but you specified {} jobs with {} threads each. This will overcommit the CPU, do you know what you are doing?".format(cputhreads, args.jobs, args.threads))
+
+    myenv = os.environ.copy()
+    myenv['NUMEVTS'] = str(args.events)
+    myenv['NUMEVTSLOTS'] = str(args.evtSlots)
+    myenv['NUMTHREADS'] = str(args.threads)
+    myenv['TESTDBKEY']  = args.TestFileDBKey
+    myenv['FTDECOVER']  = str(args.FTDecoVersion)
+    myenv['FILE']  = ",".join(args.inputFileNames)
+    myenv['OPTSFILE'] = args.OptsFileName
+
+    runningJobs=[]
+    for job in range(args.jobs):
+        outputFileName = 'ThroughputTest.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
+        runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
+
+    throughputs = []
+    regex = re.compile("Evts\/s = ([\d.]+)")
+    for idx, (job, ofile) in enumerate(runningJobs):
+        retcode = job.wait()
+        if retcode != 0 :
+            print("WARNING: non-zero return code from job {} with output file {}".format(idx,ofile.name))
+        # set file index to top of file
+        ofile.seek(0)
+        # read all lines from file
+        lines = ofile.readlines();
+        for l in lines[::-1]:
+            tmp   = regex.search(l)
+            if tmp:
+                throughputs.append(float(tmp.group(1)))
+                print("Throughput of job {} is {} Evts/s.".format(idx,throughputs[-1]))
+                break
+
+        ofile.close()
+
+    print("Throughput test is finished. Overall reached Throughput is {} Evts/s".format(sum(throughputs)))
+
+if __name__ == '__main__':
+    sys.exit(main())
diff --git a/SetupThroughputOpts.py b/SetupThroughputOpts.py
new file mode 100644
index 00000000..e199c0b1
--- /dev/null
+++ b/SetupThroughputOpts.py
@@ -0,0 +1,20 @@
+import os, importlib
+from Gaudi.Configuration import importOptions
+
+num_events     = int(os.environ['NUMEVTS'])
+num_eventslots = int(os.environ['NUMEVTSLOTS'])
+num_threads    = int(os.environ['NUMTHREADS'])
+testDBKey      = str(os.environ['TESTDBKEY'])
+FTDecoVer      = int(os.environ['FTDECOVER'])
+filepath       = os.environ['FILE'].split(',')
+optsfile       = str(os.environ['OPTSFILE'])
+
+opts=importlib.import_module("upgrade_options.{}".format(optsfile))
+
+# fix for empty list coming from the env variables
+if filepath == ['']:
+    filepath = []
+
+print("###SETUPTHROUGHPUTOPTS###\nImporting {} and executing with numevents:{}, eventslots:{}, threads:{} , using TestFileDBKey {}, SciFi decoding version {}, and set files to: {}".format(optsfile,num_events,num_eventslots, num_threads, testDBKey, FTDecoVer, filepath))
+
+opts.runTest(testDBKey, num_eventslots, num_threads, num_events, FTDecoVer, filepath)
diff --git a/computeThroughput.py b/computeThroughput.py
deleted file mode 100755
index f61e219a..00000000
--- a/computeThroughput.py
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/usr/bin/env python
-"""Compute reference throughput from the extracted data of a MiniBrunel benchmark"""
-
-__author__ = "Sebastien Ponce"
-
-import sys
-
-times, mems = eval(open(sys.argv[1]).read())
-
-# Extract data from input
-if len(times.keys()) > 1:
-    print "Not supporting mixed CMTCONFIG, giving up"
-    sys.exit(-1)
-times = times[times.keys()[0]]
-
-# go though full list of points and extract throughput for each
-scores = []
-for nt, nj, useHive in times:
-    nbEvents, duration = times[(nt,nj,useHive)]
-    throughput = nbEvents/duration
-    scores.append(throughput)
-
-# find best scores and average them
-sscores = sorted(scores)[::-1][:6]
-print sum(sscores)/len(sscores)
diff --git a/doScaling.py b/doScaling.py
new file mode 100644
index 00000000..74794a44
--- /dev/null
+++ b/doScaling.py
@@ -0,0 +1,52 @@
+#!/usr/bin/env python
+"""Runs a various thread : job  configurations for scaling test"""
+
+import re
+import os
+import sys
+import argparse
+import subprocess
+
+DEFAULT_CONFIG=("1:2:4:50000,2:2:4:50000,4:2:4:50000,10:2:4:50000,18:2:4:100000,20:2:4:100000,22:2:4:100000,"
+                "1:8:10:200000,2:8:10:200000,3:8:10:200000,4:8:10:400000,5:8:10:400000,6:8:10:400000,"
+                "1:10:12:250000,2:10:12:250000,3:10:12:250000,"
+                "1:18:20:400000,2:18:20:400000,"
+                "1:20:24:500000,2:20:24:500000,"
+                "1:22:28:600000,2:22:24:600000")
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+
+    parser.add_argument('-c','--config', type=str, default=DEFAULT_CONFIG,
+            help='''nb of configs to run test for specified as a list:
+            "j:t:e:n,j:t:e:n,j:t:e:n,... where j=job, t=threads, e=Eventslots and n=number of events per job''')
+
+    parser.add_argument('OptsFileName', type=str,
+                        help='Option file name which defines the reconstruction sequence to run.')
+
+    parser.add_argument('TestFileDBKey', type=str,
+                        help='TestFileDB key name which defines input files and tags.')
+
+    parser.add_argument('--FTDecoVersion', default=4, type=int,
+                        help='SciFi Decoding Version must match used input files')
+
+    parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="",
+                        help='Names of input files, multiple names possible')
+
+
+    args = parser.parse_args()
+
+    configs = args.config.split(',')
+    for conf in configs:
+        jobs, threads, eventslots, events = conf.split(':')
+
+        cmdLine = ['python', './RunThroughputJobs.py', '-e', eventslots, '-t', threads,
+                    '-j', jobs, '-n', events, args.OptsFileName, args.TestFileDBKey, '-f'] + args.inputFileNames
+
+        print("Starting config " + conf)
+        process  = subprocess.Popen(cmdLine)
+        process.wait()
+
+if __name__ == '__main__':
+    sys.exit(main())
diff --git a/doprofile.sh b/doprofile.sh
new file mode 100755
index 00000000..32b18fca
--- /dev/null
+++ b/doprofile.sh
@@ -0,0 +1,14 @@
+#! /usr/bin/bash
+
+set -euo pipefail
+
+echo "yeah yeah yeah yeah such profile much wow! "
+sleep 60
+amplxe-cl -collect hotspots -d 60 -target-pid=${1} -r profile_out > /dev/null
+
+amplxe-cl -R top-down -column="CPU Time:Self","Module" -report-out result.csv -format csv -csv-delimiter comma -r profile_out
+sed -i '1d' result.csv > /dev/null
+
+./stackcollapse-vtune.pl result.csv | ./flamegraph.pl --title "HLT1 Flame Graph" --minwidth 2 --width 1600 > flamy.svg
+
+echo "Done"
diff --git a/extract.py b/extract.py
deleted file mode 100755
index 63c903f5..00000000
--- a/extract.py
+++ /dev/null
@@ -1,146 +0,0 @@
-#!/usr/bin/env python
-"""Extracts throughputs from a set of log/csv files resulting from running a MiniBrunel benchmark"""
-
-__author__ = "Sebastien Ponce"
-
-import sys, os, csv
-from multiprocessing import Pool
-
-sequences = ["BrunelSequencer", "PhysicsSeq", "Reco", "RecoDecodingSeq", "RecoTrFastSeq"]
-
-def extractMem(fileName):
-    f = open(fileName, 'r')
-    maxi = 0
-    for l in f.readlines():
-        if not l.startswith('<process'): continue
-        rss = int(l.split()[3][5:-1])/1000.0
-        if rss > maxi:
-            maxi = rss
-    f.close()
-    return maxi
-
-def extractEvents(fileName):
-    events = {}
-    lastEvt = 0
-    with open(fileName, 'r') as csvfile:
-        reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
-        titles = reader.next()
-        for s, e, a, t, sl, ne in reader:
-            ne = int(ne)
-            s = int(s)
-            e = int(e)
-            if ne in events:
-                ps, pe = events[ne]
-                events[ne] = (min(s, ps), max(e, pe))
-            else:
-                events[ne] = (s, e)
-            if ne > lastEvt:
-                lastEvt = ne
-    return lastEvt, events
-
-def extractTimes(allEvents):
-    '''find out latest event number 10 and earliest last event,
-       then drop all events outside these bounds and count remaining
-       ones plus measure the time spent'''
-    startTime = 0
-    endTime = 100000000000000000000000000
-    for lastEvt, events in allEvents:
-        startTime = max(startTime, events[10][0])
-        endTime = min(endTime, events[lastEvt][1])
-    nbEvts = 0
-    for lastEvt, events in allEvents:
-        for ne in events:
-            if ne < 10: continue
-            if events[ne][0] < startTime or events[ne][1] > endTime: continue
-            nbEvts += 1
-    return nbEvts, startTime, endTime
-
-resTime = {}
-
-# list files per type and key (for csv ones)
-print 'Listing Files'
-xmlFiles = []
-csvFiles = {}
-prevNbEvents = -1
-nbRuns = 0
-for d in sys.argv[1:]:
-    for fileName in os.listdir(d):
-        if fileName[0:10] == 'MiniBrunel':
-            if fileName[-3:] == 'xml' :
-                xmlFiles.append(fileName)
-            elif fileName[-3:] == 'csv':
-                print 'using file %s/%s            \r' % (d, fileName),
-                sys.stdout.flush()
-                base, cmtconfig, threads, jobs, isHive, events, runNb, job, ext = fileName.split('.')
-                run = int(runNb)
-                if run > nbRuns:
-                    nbRuns = run+1
-                nbEvents = int(events[:-1])
-                if prevNbEvents < 0:
-                    prevNbEvents = nbEvents
-                else:
-                    if prevNbEvents != nbEvents:
-                        print 'Inconsistent nb of events in the different files. This is not supported. Giving up'
-                        sys.exit(1)
-                key = (int(threads[:-1]), int(jobs[:-1]), isHive=='hive')
-                if cmtconfig not in csvFiles:
-                    csvFiles[cmtconfig] = {}
-                if key not in csvFiles[cmtconfig]:
-                    csvFiles[cmtconfig][key] = {}
-                if run not in csvFiles[cmtconfig][key]:
-                    csvFiles[cmtconfig][key][run] = []
-                csvFiles[cmtconfig][key][run].append('%s/%s' % (d, fileName))
-print
-
-# dealing with csv files
-resTime = {}
-print 'Extracting timing data'
-for cmtconfig in csvFiles:
-    resTime[cmtconfig] = {}
-    for key in csvFiles[cmtconfig]:
-        for run in csvFiles[cmtconfig][key]:
-            startTime = 0
-            endtime = 100000000000000000000000000
-            allEvents = []
-            if len(csvFiles[cmtconfig][key][run]) != key[1]:
-                print 'MISSING FILE for %s, nbthread=%d, nbjobs=%d : %d out of %d present' % (cmtconfig, key[0], key[1], len(csvFiles[cmtconfig][key][run]), key[1])
-            # parse files in parallel
-            pool = Pool()
-            results = []
-            for fileName in csvFiles[cmtconfig][key][run]:
-                print 'using file %s/%s              \r' % (d, os.path.basename(fileName)),
-                sys.stdout.flush()
-                results.append(pool.apply_async(extractEvents, ["%s/%s" % (d, os.path.basename(fileName))]))
-            for result in results:
-                allEvents.append(result.get())
-            nbevts, startTime, endTime = extractTimes(allEvents)
-            if endTime < startTime or nbevts == 0:
-                sys.stderr.write('\nWarning, unable to get consistent data for run %d with %d threads and %d jobs\n' % (run, key[0], key[1]))
-            else:
-                if key in resTime[cmtconfig]:
-                    curNbEvts, curTime = resTime[cmtconfig][key]
-                else:
-                    curNbEvts, curTime = 0, 0
-                resTime[cmtconfig][key] = (nbevts + curNbEvts, (endTime-startTime)/1000000000.0 + curTime)
-print
-
-# handle xml files
-resMem = {}
-print 'Extracting memory data'
-for fileName in xmlFiles:
-    print 'using file %s/%s \r' % (d, fileName),
-    sys.stdout.flush()
-    value = extractMem("%s/%s" % (d, fileName))
-    base, cmtconfig, threads, jobs, isHive, events, runNb, job, ext = fileName.split('.')
-    run = int(runNb)
-    key = (int(threads[:-1]), int(jobs[:-1]), isHive=='hive')
-    if cmtconfig not in resMem:
-        resMem[cmtconfig] = {}
-    if key not in resMem[cmtconfig]:
-        resMem[cmtconfig][key] = [0]*(nbRuns+1)
-    resMem[cmtconfig][key][run] += value # mem taken is sum of different jobs
-print
-
-f = open('extractedData', 'w')
-f.write(str((resTime, resMem)))
-f.close()
diff --git a/flamegraph.pl b/flamegraph.pl
new file mode 100755
index 00000000..71379e64
--- /dev/null
+++ b/flamegraph.pl
@@ -0,0 +1,1143 @@
+#!/usr/bin/perl -w
+#
+# FILE TAKEN FROM https://github.com/brendangregg/FlameGraph/blob/master/flamegraph.pl
+#
+# flamegraph.pl		flame stack grapher.
+#
+# This takes stack samples and renders a call graph, allowing hot functions
+# and codepaths to be quickly identified.  Stack samples can be generated using
+# tools such as DTrace, perf, SystemTap, and Instruments.
+#
+# USAGE: ./flamegraph.pl [options] input.txt > graph.svg
+#
+#        grep funcA input.txt | ./flamegraph.pl [options] > graph.svg
+#
+# Then open the resulting .svg in a web browser, for interactivity: mouse-over
+# frames for info, click to zoom, and ctrl-F to search.
+#
+# Options are listed in the usage message (--help).
+#
+# The input is stack frames and sample counts formatted as single lines.  Each
+# frame in the stack is semicolon separated, with a space and count at the end
+# of the line.  These can be generated for Linux perf script output using
+# stackcollapse-perf.pl, for DTrace using stackcollapse.pl, and for other tools
+# using the other stackcollapse programs.  Example input:
+#
+#  swapper;start_kernel;rest_init;cpu_idle;default_idle;native_safe_halt 1
+#
+# An optional extra column of counts can be provided to generate a differential
+# flame graph of the counts, colored red for more, and blue for less.  This
+# can be useful when using flame graphs for non-regression testing.
+# See the header comment in the difffolded.pl program for instructions.
+#
+# The input functions can optionally have annotations at the end of each
+# function name, following a precedent by some tools (Linux perf's _[k]):
+# 	_[k] for kernel
+#	_[i] for inlined
+#	_[j] for jit
+#	_[w] for waker
+# Some of the stackcollapse programs support adding these annotations, eg,
+# stackcollapse-perf.pl --kernel --jit. They are used merely for colors by
+# some palettes, eg, flamegraph.pl --color=java.
+#
+# The output flame graph shows relative presence of functions in stack samples.
+# The ordering on the x-axis has no meaning; since the data is samples, time
+# order of events is not known.  The order used sorts function names
+# alphabetically.
+#
+# While intended to process stack samples, this can also process stack traces.
+# For example, tracing stacks for memory allocation, or resource usage.  You
+# can use --title to set the title to reflect the content, and --countname
+# to change "samples" to "bytes" etc.
+#
+# There are a few different palettes, selectable using --color.  By default,
+# the colors are selected at random (except for differentials).  Functions
+# called "-" will be printed gray, which can be used for stack separators (eg,
+# between user and kernel stacks).
+#
+# HISTORY
+#
+# This was inspired by Neelakanth Nadgir's excellent function_call_graph.rb
+# program, which visualized function entry and return trace events.  As Neel
+# wrote: "The output displayed is inspired by Roch's CallStackAnalyzer which
+# was in turn inspired by the work on vftrace by Jan Boerhout".  See:
+# https://blogs.oracle.com/realneel/entry/visualizing_callstacks_via_dtrace_and
+#
+# Copyright 2016 Netflix, Inc.
+# Copyright 2011 Joyent, Inc.  All rights reserved.
+# Copyright 2011 Brendan Gregg.  All rights reserved.
+#
+# CDDL HEADER START
+#
+# The contents of this file are subject to the terms of the
+# Common Development and Distribution License (the "License").
+# You may not use this file except in compliance with the License.
+#
+# You can obtain a copy of the license at docs/cddl1.txt or
+# http://opensource.org/licenses/CDDL-1.0.
+# See the License for the specific language governing permissions
+# and limitations under the License.
+#
+# When distributing Covered Code, include this CDDL HEADER in each
+# file and include the License file at docs/cddl1.txt.
+# If applicable, add the following below this CDDL HEADER, with the
+# fields enclosed by brackets "[]" replaced with your own identifying
+# information: Portions Copyright [yyyy] [name of copyright owner]
+#
+# CDDL HEADER END
+#
+# 11-Oct-2014	Adrien Mahieux	Added zoom.
+# 21-Nov-2013   Shawn Sterling  Added consistent palette file option
+# 17-Mar-2013   Tim Bunce       Added options and more tunables.
+# 15-Dec-2011	Dave Pacheco	Support for frames with whitespace.
+# 10-Sep-2011	Brendan Gregg	Created this.
+
+use strict;
+
+use Getopt::Long;
+
+use open qw(:std :utf8);
+
+# tunables
+my $encoding;
+my $fonttype = "Verdana";
+my $imagewidth = 1200;          # max width, pixels
+my $frameheight = 16;           # max height is dynamic
+my $fontsize = 12;              # base text size
+my $fontwidth = 0.59;           # avg width relative to fontsize
+my $minwidth = 0.1;             # min function width, pixels
+my $nametype = "Function:";     # what are the names in the data?
+my $countname = "samples";      # what are the counts in the data?
+my $colors = "hot";             # color theme
+my $bgcolor1 = "#eeeeee";       # background color gradient start
+my $bgcolor2 = "#eeeeb0";       # background color gradient stop
+my $nameattrfile;               # file holding function attributes
+my $timemax;                    # (override the) sum of the counts
+my $factor = 1;                 # factor to scale counts by
+my $hash = 0;                   # color by function name
+my $palette = 0;                # if we use consistent palettes (default off)
+my %palette_map;                # palette map hash
+my $pal_file = "palette.map";   # palette map file name
+my $stackreverse = 0;           # reverse stack order, switching merge end
+my $inverted = 0;               # icicle graph
+my $flamechart = 0;             # produce a flame chart (sort by time, do not merge stacks)
+my $negate = 0;                 # switch differential hues
+my $titletext = "";             # centered heading
+my $titledefault = "Flame Graph";	# overwritten by --title
+my $titleinverted = "Icicle Graph";	#   "    "
+my $searchcolor = "rgb(230,0,230)";	# color for search highlighting
+my $notestext = "";		# embedded notes in SVG
+my $subtitletext = "";		# second level title (optional)
+my $help = 0;
+
+sub usage {
+	die <<USAGE_END;
+USAGE: $0 [options] infile > outfile.svg\n
+	--title TEXT     # change title text
+	--subtitle TEXT  # second level title (optional)
+	--width NUM      # width of image (default 1200)
+	--height NUM     # height of each frame (default 16)
+	--minwidth NUM   # omit smaller functions (default 0.1 pixels)
+	--fonttype FONT  # font type (default "Verdana")
+	--fontsize NUM   # font size (default 12)
+	--countname TEXT # count type label (default "samples")
+	--nametype TEXT  # name type label (default "Function:")
+	--colors PALETTE # set color palette. choices are: hot (default), mem,
+	                 # io, wakeup, chain, java, js, perl, red, green, blue,
+	                 # aqua, yellow, purple, orange
+	--hash           # colors are keyed by function name hash
+	--cp             # use consistent palette (palette.map)
+	--reverse        # generate stack-reversed flame graph
+	--inverted       # icicle graph
+	--flamechart     # produce a flame chart (sort by time, do not merge stacks)
+	--negate         # switch differential hues (blue<->red)
+	--notes TEXT     # add notes comment in SVG (for debugging)
+	--help           # this message
+
+	eg,
+	$0 --title="Flame Graph: malloc()" trace.txt > graph.svg
+USAGE_END
+}
+
+GetOptions(
+	'fonttype=s'  => \$fonttype,
+	'width=i'     => \$imagewidth,
+	'height=i'    => \$frameheight,
+	'encoding=s'  => \$encoding,
+	'fontsize=f'  => \$fontsize,
+	'fontwidth=f' => \$fontwidth,
+	'minwidth=f'  => \$minwidth,
+	'title=s'     => \$titletext,
+	'subtitle=s'  => \$subtitletext,
+	'nametype=s'  => \$nametype,
+	'countname=s' => \$countname,
+	'nameattr=s'  => \$nameattrfile,
+	'total=s'     => \$timemax,
+	'factor=f'    => \$factor,
+	'colors=s'    => \$colors,
+	'hash'        => \$hash,
+	'cp'          => \$palette,
+	'reverse'     => \$stackreverse,
+	'inverted'    => \$inverted,
+	'flamechart'  => \$flamechart,
+	'negate'      => \$negate,
+	'notes=s'     => \$notestext,
+	'help'        => \$help,
+) or usage();
+$help && usage();
+
+# internals
+my $ypad1 = $fontsize * 3;      # pad top, include title
+my $ypad2 = $fontsize * 2 + 10; # pad bottom, include labels
+my $ypad3 = $fontsize * 2;      # pad top, include subtitle (optional)
+my $xpad = 10;                  # pad lefm and right
+my $framepad = 1;		# vertical padding for frames
+my $depthmax = 0;
+my %Events;
+my %nameattr;
+
+if ($flamechart && $titletext eq "") {
+	$titletext = "Flame Chart";
+}
+
+if ($titletext eq "") {
+	unless ($inverted) {
+		$titletext = $titledefault;
+	} else {
+		$titletext = $titleinverted;
+	}
+}
+
+if ($nameattrfile) {
+	# The name-attribute file format is a function name followed by a tab then
+	# a sequence of tab separated name=value pairs.
+	open my $attrfh, $nameattrfile or die "Can't read $nameattrfile: $!\n";
+	while (<$attrfh>) {
+		chomp;
+		my ($funcname, $attrstr) = split /\t/, $_, 2;
+		die "Invalid format in $nameattrfile" unless defined $attrstr;
+		$nameattr{$funcname} = { map { split /=/, $_, 2 } split /\t/, $attrstr };
+	}
+}
+
+if ($notestext =~ /[<>]/) {
+	die "Notes string can't contain < or >"
+}
+
+# background colors:
+# - yellow gradient: default (hot, java, js, perl)
+# - blue gradient: mem, chain
+# - gray gradient: io, wakeup, flat colors (red, green, blue, ...)
+if ($colors eq "mem" or $colors eq "chain") {
+	$bgcolor1 = "#eeeeee"; $bgcolor2 = "#e0e0ff";
+}
+if ($colors =~ /^(io|wakeup|red|green|blue|aqua|yellow|purple|orange)$/) {
+	$bgcolor1 = "#f8f8f8"; $bgcolor2 = "#e8e8e8";
+}
+
+# SVG functions
+{ package SVG;
+	sub new {
+		my $class = shift;
+		my $self = {};
+		bless ($self, $class);
+		return $self;
+	}
+
+	sub header {
+		my ($self, $w, $h) = @_;
+		my $enc_attr = '';
+		if (defined $encoding) {
+			$enc_attr = qq{ encoding="$encoding"};
+		}
+		$self->{svg} .= <<SVG;
+<?xml version="1.0"$enc_attr standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="$w" height="$h" onload="init(evt)" viewBox="0 0 $w $h" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+<!-- Flame graph stack visualization. See https://github.com/brendangregg/FlameGraph for latest version, and http://www.brendangregg.com/flamegraphs.html for examples. -->
+<!-- NOTES: $notestext -->
+SVG
+	}
+
+	sub include {
+		my ($self, $content) = @_;
+		$self->{svg} .= $content;
+	}
+
+	sub colorAllocate {
+		my ($self, $r, $g, $b) = @_;
+		return "rgb($r,$g,$b)";
+	}
+
+	sub group_start {
+		my ($self, $attr) = @_;
+
+		my @g_attr = map {
+			exists $attr->{$_} ? sprintf(qq/$_="%s"/, $attr->{$_}) : ()
+		} qw(class style onmouseover onmouseout onclick);
+		push @g_attr, $attr->{g_extra} if $attr->{g_extra};
+		$self->{svg} .= sprintf qq/<g %s>\n/, join(' ', @g_attr);
+
+		$self->{svg} .= sprintf qq/<title>%s<\/title>/, $attr->{title}
+			if $attr->{title}; # should be first element within g container
+
+		if ($attr->{href}) {
+			my @a_attr;
+			push @a_attr, sprintf qq/xlink:href="%s"/, $attr->{href} if $attr->{href};
+			# default target=_top else links will open within SVG <object>
+			push @a_attr, sprintf qq/target="%s"/, $attr->{target} || "_top";
+			push @a_attr, $attr->{a_extra}                           if $attr->{a_extra};
+			$self->{svg} .= sprintf qq/<a %s>/, join(' ', @a_attr);
+		}
+	}
+
+	sub group_end {
+		my ($self, $attr) = @_;
+		$self->{svg} .= qq/<\/a>\n/ if $attr->{href};
+		$self->{svg} .= qq/<\/g>\n/;
+	}
+
+	sub filledRectangle {
+		my ($self, $x1, $y1, $x2, $y2, $fill, $extra) = @_;
+		$x1 = sprintf "%0.1f", $x1;
+		$x2 = sprintf "%0.1f", $x2;
+		my $w = sprintf "%0.1f", $x2 - $x1;
+		my $h = sprintf "%0.1f", $y2 - $y1;
+		$extra = defined $extra ? $extra : "";
+		$self->{svg} .= qq/<rect x="$x1" y="$y1" width="$w" height="$h" fill="$fill" $extra \/>\n/;
+	}
+
+	sub stringTTF {
+		my ($self, $color, $font, $size, $angle, $x, $y, $str, $loc, $extra) = @_;
+		$x = sprintf "%0.2f", $x;
+		$loc = defined $loc ? $loc : "left";
+		$extra = defined $extra ? $extra : "";
+		$self->{svg} .= qq/<text text-anchor="$loc" x="$x" y="$y" font-size="$size" font-family="$font" fill="$color" $extra >$str<\/text>\n/;
+	}
+
+	sub svg {
+		my $self = shift;
+		return "$self->{svg}</svg>\n";
+	}
+	1;
+}
+
+sub namehash {
+	# Generate a vector hash for the name string, weighting early over
+	# later characters. We want to pick the same colors for function
+	# names across different flame graphs.
+	my $name = shift;
+	my $vector = 0;
+	my $weight = 1;
+	my $max = 1;
+	my $mod = 10;
+	# if module name present, trunc to 1st char
+	$name =~ s/.(.*?)`//;
+	foreach my $c (split //, $name) {
+		my $i = (ord $c) % $mod;
+		$vector += ($i / ($mod++ - 1)) * $weight;
+		$max += 1 * $weight;
+		$weight *= 0.70;
+		last if $mod > 12;
+	}
+	return (1 - $vector / $max)
+}
+
+sub color {
+	my ($type, $hash, $name) = @_;
+	my ($v1, $v2, $v3);
+
+	if ($hash) {
+		$v1 = namehash($name);
+		$v2 = $v3 = namehash(scalar reverse $name);
+	} else {
+		$v1 = rand(1);
+		$v2 = rand(1);
+		$v3 = rand(1);
+	}
+
+	# theme palettes
+	if (defined $type and $type eq "hot") {
+		my $r = 205 + int(50 * $v3);
+		my $g = 0 + int(230 * $v1);
+		my $b = 0 + int(55 * $v2);
+		return "rgb($r,$g,$b)";
+	}
+	if (defined $type and $type eq "mem") {
+		my $r = 0;
+		my $g = 190 + int(50 * $v2);
+		my $b = 0 + int(210 * $v1);
+		return "rgb($r,$g,$b)";
+	}
+	if (defined $type and $type eq "io") {
+		my $r = 80 + int(60 * $v1);
+		my $g = $r;
+		my $b = 190 + int(55 * $v2);
+		return "rgb($r,$g,$b)";
+	}
+
+	# multi palettes
+	if (defined $type and $type eq "java") {
+		# Handle both annotations (_[j], _[i], ...; which are
+		# accurate), as well as input that lacks any annotations, as
+		# best as possible. Without annotations, we get a little hacky
+		# and match on java|org|com, etc.
+		if ($name =~ m:_\[j\]$:) {	# jit annotation
+			$type = "green";
+		} elsif ($name =~ m:_\[i\]$:) {	# inline annotation
+			$type = "aqua";
+		} elsif ($name =~ m:^L?(java|org|com|io|sun)/:) {	# Java
+			$type = "green";
+		} elsif ($name =~ m:_\[k\]$:) {	# kernel annotation
+			$type = "orange";
+		} elsif ($name =~ /::/) {	# C++
+			$type = "yellow";
+		} else {			# system
+			$type = "red";
+		}
+		# fall-through to color palettes
+	}
+	if (defined $type and $type eq "perl") {
+		if ($name =~ /::/) {		# C++
+			$type = "yellow";
+		} elsif ($name =~ m:Perl: or $name =~ m:\.pl:) {	# Perl
+			$type = "green";
+		} elsif ($name =~ m:_\[k\]$:) {	# kernel
+			$type = "orange";
+		} else {			# system
+			$type = "red";
+		}
+		# fall-through to color palettes
+	}
+	if (defined $type and $type eq "js") {
+		# Handle both annotations (_[j], _[i], ...; which are
+		# accurate), as well as input that lacks any annotations, as
+		# best as possible. Without annotations, we get a little hacky,
+		# and match on a "/" with a ".js", etc.
+		if ($name =~ m:_\[j\]$:) {	# jit annotation
+			if ($name =~ m:/:) {
+				$type = "green";	# source
+			} else {
+				$type = "aqua";		# builtin
+			}
+		} elsif ($name =~ /::/) {	# C++
+			$type = "yellow";
+		} elsif ($name =~ m:/.*\.js:) {	# JavaScript (match "/" in path)
+			$type = "green";
+		} elsif ($name =~ m/:/) {	# JavaScript (match ":" in builtin)
+			$type = "aqua";
+		} elsif ($name =~ m/^ $/) {	# Missing symbol
+			$type = "green";
+		} elsif ($name =~ m:_\[k\]:) {	# kernel
+			$type = "orange";
+		} else {			# system
+			$type = "red";
+		}
+		# fall-through to color palettes
+	}
+	if (defined $type and $type eq "wakeup") {
+		$type = "aqua";
+		# fall-through to color palettes
+	}
+	if (defined $type and $type eq "chain") {
+		if ($name =~ m:_\[w\]:) {	# waker
+			$type = "aqua"
+		} else {			# off-CPU
+			$type = "blue";
+		}
+		# fall-through to color palettes
+	}
+
+	# color palettes
+	if (defined $type and $type eq "red") {
+		my $r = 200 + int(55 * $v1);
+		my $x = 50 + int(80 * $v1);
+		return "rgb($r,$x,$x)";
+	}
+	if (defined $type and $type eq "green") {
+		my $g = 200 + int(55 * $v1);
+		my $x = 50 + int(60 * $v1);
+		return "rgb($x,$g,$x)";
+	}
+	if (defined $type and $type eq "blue") {
+		my $b = 205 + int(50 * $v1);
+		my $x = 80 + int(60 * $v1);
+		return "rgb($x,$x,$b)";
+	}
+	if (defined $type and $type eq "yellow") {
+		my $x = 175 + int(55 * $v1);
+		my $b = 50 + int(20 * $v1);
+		return "rgb($x,$x,$b)";
+	}
+	if (defined $type and $type eq "purple") {
+		my $x = 190 + int(65 * $v1);
+		my $g = 80 + int(60 * $v1);
+		return "rgb($x,$g,$x)";
+	}
+	if (defined $type and $type eq "aqua") {
+		my $r = 50 + int(60 * $v1);
+		my $g = 165 + int(55 * $v1);
+		my $b = 165 + int(55 * $v1);
+		return "rgb($r,$g,$b)";
+	}
+	if (defined $type and $type eq "orange") {
+		my $r = 190 + int(65 * $v1);
+		my $g = 90 + int(65 * $v1);
+		return "rgb($r,$g,0)";
+	}
+
+	return "rgb(0,0,0)";
+}
+
+sub color_scale {
+	my ($value, $max) = @_;
+	my ($r, $g, $b) = (255, 255, 255);
+	$value = -$value if $negate;
+	if ($value > 0) {
+		$g = $b = int(210 * ($max - $value) / $max);
+	} elsif ($value < 0) {
+		$r = $g = int(210 * ($max + $value) / $max);
+	}
+	return "rgb($r,$g,$b)";
+}
+
+sub color_map {
+	my ($colors, $func) = @_;
+	if (exists $palette_map{$func}) {
+		return $palette_map{$func};
+	} else {
+		$palette_map{$func} = color($colors, $hash, $func);
+		return $palette_map{$func};
+	}
+}
+
+sub write_palette {
+	open(FILE, ">$pal_file");
+	foreach my $key (sort keys %palette_map) {
+		print FILE $key."->".$palette_map{$key}."\n";
+	}
+	close(FILE);
+}
+
+sub read_palette {
+	if (-e $pal_file) {
+	open(FILE, $pal_file) or die "can't open file $pal_file: $!";
+	while ( my $line = <FILE>) {
+		chomp($line);
+		(my $key, my $value) = split("->",$line);
+		$palette_map{$key}=$value;
+	}
+	close(FILE)
+	}
+}
+
+my %Node;	# Hash of merged frame data
+my %Tmp;
+
+# flow() merges two stacks, storing the merged frames and value data in %Node.
+sub flow {
+	my ($last, $this, $v, $d) = @_;
+
+	my $len_a = @$last - 1;
+	my $len_b = @$this - 1;
+
+	my $i = 0;
+	my $len_same;
+	for (; $i <= $len_a; $i++) {
+		last if $i > $len_b;
+		last if $last->[$i] ne $this->[$i];
+	}
+	$len_same = $i;
+
+	for ($i = $len_a; $i >= $len_same; $i--) {
+		my $k = "$last->[$i];$i";
+		# a unique ID is constructed from "func;depth;etime";
+		# func-depth isn't unique, it may be repeated later.
+		$Node{"$k;$v"}->{stime} = delete $Tmp{$k}->{stime};
+		if (defined $Tmp{$k}->{delta}) {
+			$Node{"$k;$v"}->{delta} = delete $Tmp{$k}->{delta};
+		}
+		delete $Tmp{$k};
+	}
+
+	for ($i = $len_same; $i <= $len_b; $i++) {
+		my $k = "$this->[$i];$i";
+		$Tmp{$k}->{stime} = $v;
+		if (defined $d) {
+			$Tmp{$k}->{delta} += $i == $len_b ? $d : 0;
+		}
+	}
+
+        return $this;
+}
+
+# parse input
+my @Data;
+my @SortedData;
+my $last = [];
+my $time = 0;
+my $delta = undef;
+my $ignored = 0;
+my $line;
+my $maxdelta = 1;
+
+# reverse if needed
+foreach (<>) {
+	chomp;
+	$line = $_;
+	if ($stackreverse) {
+		# there may be an extra samples column for differentials
+		# XXX todo: redo these REs as one. It's repeated below.
+		my($stack, $samples) = (/^(.*)\s+?(\d+(?:\.\d*)?)$/);
+		my $samples2 = undef;
+		if ($stack =~ /^(.*)\s+?(\d+(?:\.\d*)?)$/) {
+			$samples2 = $samples;
+			($stack, $samples) = $stack =~ (/^(.*)\s+?(\d+(?:\.\d*)?)$/);
+			unshift @Data, join(";", reverse split(";", $stack)) . " $samples $samples2";
+		} else {
+			unshift @Data, join(";", reverse split(";", $stack)) . " $samples";
+		}
+	} else {
+		unshift @Data, $line;
+	}
+}
+
+if ($flamechart) {
+	# In flame chart mode, just reverse the data so time moves from left to right.
+	@SortedData = reverse @Data;
+} else {
+	@SortedData = sort @Data;
+}
+
+# process and merge frames
+foreach (@SortedData) {
+	chomp;
+	# process: folded_stack count
+	# eg: func_a;func_b;func_c 31
+	my ($stack, $samples) = (/^(.*)\s+?(\d+(?:\.\d*)?)$/);
+	unless (defined $samples and defined $stack) {
+		++$ignored;
+		next;
+	}
+
+	# there may be an extra samples column for differentials:
+	my $samples2 = undef;
+	if ($stack =~ /^(.*)\s+?(\d+(?:\.\d*)?)$/) {
+		$samples2 = $samples;
+		($stack, $samples) = $stack =~ (/^(.*)\s+?(\d+(?:\.\d*)?)$/);
+	}
+	$delta = undef;
+	if (defined $samples2) {
+		$delta = $samples2 - $samples;
+		$maxdelta = abs($delta) if abs($delta) > $maxdelta;
+	}
+
+	# for chain graphs, annotate waker frames with "_[w]", for later
+	# coloring. This is a hack, but has a precedent ("_[k]" from perf).
+	if ($colors eq "chain") {
+		my @parts = split ";--;", $stack;
+		my @newparts = ();
+		$stack = shift @parts;
+		$stack .= ";--;";
+		foreach my $part (@parts) {
+			$part =~ s/;/_[w];/g;
+			$part .= "_[w]";
+			push @newparts, $part;
+		}
+		$stack .= join ";--;", @parts;
+	}
+
+	# merge frames and populate %Node:
+	$last = flow($last, [ '', split ";", $stack ], $time, $delta);
+
+	if (defined $samples2) {
+		$time += $samples2;
+	} else {
+		$time += $samples;
+	}
+}
+flow($last, [], $time, $delta);
+
+warn "Ignored $ignored lines with invalid format\n" if $ignored;
+unless ($time) {
+	warn "ERROR: No stack counts found\n";
+	my $im = SVG->new();
+	# emit an error message SVG, for tools automating flamegraph use
+	my $imageheight = $fontsize * 5;
+	$im->header($imagewidth, $imageheight);
+	$im->stringTTF($im->colorAllocate(0, 0, 0), $fonttype, $fontsize + 2,
+	    0.0, int($imagewidth / 2), $fontsize * 2,
+	    "ERROR: No valid input provided to flamegraph.pl.", "middle");
+	print $im->svg;
+	exit 2;
+}
+if ($timemax and $timemax < $time) {
+	warn "Specified --total $timemax is less than actual total $time, so ignored\n"
+	if $timemax/$time > 0.02; # only warn is significant (e.g., not rounding etc)
+	undef $timemax;
+}
+$timemax ||= $time;
+
+my $widthpertime = ($imagewidth - 2 * $xpad) / $timemax;
+my $minwidth_time = $minwidth / $widthpertime;
+
+# prune blocks that are too narrow and determine max depth
+while (my ($id, $node) = each %Node) {
+	my ($func, $depth, $etime) = split ";", $id;
+	my $stime = $node->{stime};
+	die "missing start for $id" if not defined $stime;
+
+	if (($etime-$stime) < $minwidth_time) {
+		delete $Node{$id};
+		next;
+	}
+	$depthmax = $depth if $depth > $depthmax;
+}
+
+# draw canvas, and embed interactive JavaScript program
+my $imageheight = (($depthmax + 1) * $frameheight) + $ypad1 + $ypad2;
+$imageheight += $ypad3 if $subtitletext ne "";
+my $im = SVG->new();
+$im->header($imagewidth, $imageheight);
+my $inc = <<INC;
+<defs >
+	<linearGradient id="background" y1="0" y2="1" x1="0" x2="0" >
+		<stop stop-color="$bgcolor1" offset="5%" />
+		<stop stop-color="$bgcolor2" offset="95%" />
+	</linearGradient>
+</defs>
+<style type="text/css">
+	.func_g:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
+</style>
+<script type="text/ecmascript">
+<![CDATA[
+	var details, searchbtn, matchedtxt, svg;
+	function init(evt) {
+		details = document.getElementById("details").firstChild;
+		searchbtn = document.getElementById("search");
+		matchedtxt = document.getElementById("matched");
+		svg = document.getElementsByTagName("svg")[0];
+		searching = 0;
+	}
+
+	// mouse-over for info
+	function s(node) {		// show
+		info = g_to_text(node);
+		details.nodeValue = "$nametype " + info;
+	}
+	function c() {			// clear
+		details.nodeValue = ' ';
+	}
+
+	// ctrl-F for search
+	window.addEventListener("keydown",function (e) {
+		if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
+			e.preventDefault();
+			search_prompt();
+		}
+	})
+
+	// functions
+	function find_child(parent, name, attr) {
+		var children = parent.childNodes;
+		for (var i=0; i<children.length;i++) {
+			if (children[i].tagName == name)
+				return (attr != undefined) ? children[i].attributes[attr].value : children[i];
+		}
+		return;
+	}
+	function orig_save(e, attr, val) {
+		if (e.attributes["_orig_"+attr] != undefined) return;
+		if (e.attributes[attr] == undefined) return;
+		if (val == undefined) val = e.attributes[attr].value;
+		e.setAttribute("_orig_"+attr, val);
+	}
+	function orig_load(e, attr) {
+		if (e.attributes["_orig_"+attr] == undefined) return;
+		e.attributes[attr].value = e.attributes["_orig_"+attr].value;
+		e.removeAttribute("_orig_"+attr);
+	}
+	function g_to_text(e) {
+		var text = find_child(e, "title").firstChild.nodeValue;
+		return (text)
+	}
+	function g_to_func(e) {
+		var func = g_to_text(e);
+		// if there's any manipulation we want to do to the function
+		// name before it's searched, do it here before returning.
+		return (func);
+	}
+	function update_text(e) {
+		var r = find_child(e, "rect");
+		var t = find_child(e, "text");
+		var w = parseFloat(r.attributes["width"].value) -3;
+		var txt = find_child(e, "title").textContent.replace(/\\([^(]*\\)\$/,"");
+		t.attributes["x"].value = parseFloat(r.attributes["x"].value) +3;
+
+		// Smaller than this size won't fit anything
+		if (w < 2*$fontsize*$fontwidth) {
+			t.textContent = "";
+			return;
+		}
+
+		t.textContent = txt;
+		// Fit in full text width
+		if (/^ *\$/.test(txt) || t.getSubStringLength(0, txt.length) < w)
+			return;
+
+		for (var x=txt.length-2; x>0; x--) {
+			if (t.getSubStringLength(0, x+2) <= w) {
+				t.textContent = txt.substring(0,x) + "..";
+				return;
+			}
+		}
+		t.textContent = "";
+	}
+
+	// zoom
+	function zoom_reset(e) {
+		if (e.attributes != undefined) {
+			orig_load(e, "x");
+			orig_load(e, "width");
+		}
+		if (e.childNodes == undefined) return;
+		for(var i=0, c=e.childNodes; i<c.length; i++) {
+			zoom_reset(c[i]);
+		}
+	}
+	function zoom_child(e, x, ratio) {
+		if (e.attributes != undefined) {
+			if (e.attributes["x"] != undefined) {
+				orig_save(e, "x");
+				e.attributes["x"].value = (parseFloat(e.attributes["x"].value) - x - $xpad) * ratio + $xpad;
+				if(e.tagName == "text") e.attributes["x"].value = find_child(e.parentNode, "rect", "x") + 3;
+			}
+			if (e.attributes["width"] != undefined) {
+				orig_save(e, "width");
+				e.attributes["width"].value = parseFloat(e.attributes["width"].value) * ratio;
+			}
+		}
+
+		if (e.childNodes == undefined) return;
+		for(var i=0, c=e.childNodes; i<c.length; i++) {
+			zoom_child(c[i], x-$xpad, ratio);
+		}
+	}
+	function zoom_parent(e) {
+		if (e.attributes) {
+			if (e.attributes["x"] != undefined) {
+				orig_save(e, "x");
+				e.attributes["x"].value = $xpad;
+			}
+			if (e.attributes["width"] != undefined) {
+				orig_save(e, "width");
+				e.attributes["width"].value = parseInt(svg.width.baseVal.value) - ($xpad*2);
+			}
+		}
+		if (e.childNodes == undefined) return;
+		for(var i=0, c=e.childNodes; i<c.length; i++) {
+			zoom_parent(c[i]);
+		}
+	}
+	function zoom(node) {
+		var attr = find_child(node, "rect").attributes;
+		var width = parseFloat(attr["width"].value);
+		var xmin = parseFloat(attr["x"].value);
+		var xmax = parseFloat(xmin + width);
+		var ymin = parseFloat(attr["y"].value);
+		var ratio = (svg.width.baseVal.value - 2*$xpad) / width;
+
+		// XXX: Workaround for JavaScript float issues (fix me)
+		var fudge = 0.0001;
+
+		var unzoombtn = document.getElementById("unzoom");
+		unzoombtn.style["opacity"] = "1.0";
+
+		var el = document.getElementsByTagName("g");
+		for(var i=0;i<el.length;i++){
+			var e = el[i];
+			var a = find_child(e, "rect").attributes;
+			var ex = parseFloat(a["x"].value);
+			var ew = parseFloat(a["width"].value);
+			// Is it an ancestor
+			if ($inverted == 0) {
+				var upstack = parseFloat(a["y"].value) > ymin;
+			} else {
+				var upstack = parseFloat(a["y"].value) < ymin;
+			}
+			if (upstack) {
+				// Direct ancestor
+				if (ex <= xmin && (ex+ew+fudge) >= xmax) {
+					e.style["opacity"] = "0.5";
+					zoom_parent(e);
+					e.onclick = function(e){unzoom(); zoom(this);};
+					update_text(e);
+				}
+				// not in current path
+				else
+					e.style["display"] = "none";
+			}
+			// Children maybe
+			else {
+				// no common path
+				if (ex < xmin || ex + fudge >= xmax) {
+					e.style["display"] = "none";
+				}
+				else {
+					zoom_child(e, xmin, ratio);
+					e.onclick = function(e){zoom(this);};
+					update_text(e);
+				}
+			}
+		}
+	}
+	function unzoom() {
+		var unzoombtn = document.getElementById("unzoom");
+		unzoombtn.style["opacity"] = "0.0";
+
+		var el = document.getElementsByTagName("g");
+		for(i=0;i<el.length;i++) {
+			el[i].style["display"] = "block";
+			el[i].style["opacity"] = "1";
+			zoom_reset(el[i]);
+			update_text(el[i]);
+		}
+	}
+
+	// search
+	function reset_search() {
+		var el = document.getElementsByTagName("rect");
+		for (var i=0; i < el.length; i++) {
+			orig_load(el[i], "fill")
+		}
+	}
+	function search_prompt() {
+		if (!searching) {
+			var term = prompt("Enter a search term (regexp " +
+			    "allowed, eg: ^ext4_)", "");
+			if (term != null) {
+				search(term)
+			}
+		} else {
+			reset_search();
+			searching = 0;
+			searchbtn.style["opacity"] = "0.1";
+			searchbtn.firstChild.nodeValue = "Search"
+			matchedtxt.style["opacity"] = "0.0";
+			matchedtxt.firstChild.nodeValue = ""
+		}
+	}
+	function search(term) {
+		var re = new RegExp(term);
+		var el = document.getElementsByTagName("g");
+		var matches = new Object();
+		var maxwidth = 0;
+		for (var i = 0; i < el.length; i++) {
+			var e = el[i];
+			if (e.attributes["class"].value != "func_g")
+				continue;
+			var func = g_to_func(e);
+			var rect = find_child(e, "rect");
+			if (rect == null) {
+				// the rect might be wrapped in an anchor
+				// if nameattr href is being used
+				if (rect = find_child(e, "a")) {
+				    rect = find_child(r, "rect");
+				}
+			}
+			if (func == null || rect == null)
+				continue;
+
+			// Save max width. Only works as we have a root frame
+			var w = parseFloat(rect.attributes["width"].value);
+			if (w > maxwidth)
+				maxwidth = w;
+
+			if (func.match(re)) {
+				// highlight
+				var x = parseFloat(rect.attributes["x"].value);
+				orig_save(rect, "fill");
+				rect.attributes["fill"].value =
+				    "$searchcolor";
+
+				// remember matches
+				if (matches[x] == undefined) {
+					matches[x] = w;
+				} else {
+					if (w > matches[x]) {
+						// overwrite with parent
+						matches[x] = w;
+					}
+				}
+				searching = 1;
+			}
+		}
+		if (!searching)
+			return;
+
+		searchbtn.style["opacity"] = "1.0";
+		searchbtn.firstChild.nodeValue = "Reset Search"
+
+		// calculate percent matched, excluding vertical overlap
+		var count = 0;
+		var lastx = -1;
+		var lastw = 0;
+		var keys = Array();
+		for (k in matches) {
+			if (matches.hasOwnProperty(k))
+				keys.push(k);
+		}
+		// sort the matched frames by their x location
+		// ascending, then width descending
+		keys.sort(function(a, b){
+			return a - b;
+		});
+		// Step through frames saving only the biggest bottom-up frames
+		// thanks to the sort order. This relies on the tree property
+		// where children are always smaller than their parents.
+		var fudge = 0.0001;	// JavaScript floating point
+		for (var k in keys) {
+			var x = parseFloat(keys[k]);
+			var w = matches[keys[k]];
+			if (x >= lastx + lastw - fudge) {
+				count += w;
+				lastx = x;
+				lastw = w;
+			}
+		}
+		// display matched percent
+		matchedtxt.style["opacity"] = "1.0";
+		pct = 100 * count / maxwidth;
+		if (pct == 100)
+			pct = "100"
+		else
+			pct = pct.toFixed(1)
+		matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
+	}
+	function searchover(e) {
+		searchbtn.style["opacity"] = "1.0";
+	}
+	function searchout(e) {
+		if (searching) {
+			searchbtn.style["opacity"] = "1.0";
+		} else {
+			searchbtn.style["opacity"] = "0.1";
+		}
+	}
+]]>
+</script>
+INC
+$im->include($inc);
+$im->filledRectangle(0, 0, $imagewidth, $imageheight, 'url(#background)');
+my ($white, $black, $vvdgrey, $vdgrey, $dgrey) = (
+	$im->colorAllocate(255, 255, 255),
+	$im->colorAllocate(0, 0, 0),
+	$im->colorAllocate(40, 40, 40),
+	$im->colorAllocate(160, 160, 160),
+	$im->colorAllocate(200, 200, 200),
+    );
+$im->stringTTF($black, $fonttype, $fontsize + 5, 0.0, int($imagewidth / 2), $fontsize * 2, $titletext, "middle");
+if ($subtitletext ne "") {
+	$im->stringTTF($vdgrey, $fonttype, $fontsize, 0.0, int($imagewidth / 2), $fontsize * 4, $subtitletext, "middle");
+}
+$im->stringTTF($black, $fonttype, $fontsize, 0.0, $xpad, $imageheight - ($ypad2 / 2), " ", "", 'id="details"');
+$im->stringTTF($black, $fonttype, $fontsize, 0.0, $xpad, $fontsize * 2,
+    "Reset Zoom", "", 'id="unzoom" onclick="unzoom()" style="opacity:0.0;cursor:pointer"');
+$im->stringTTF($black, $fonttype, $fontsize, 0.0, $imagewidth - $xpad - 100,
+    $fontsize * 2, "Search", "", 'id="search" onmouseover="searchover()" onmouseout="searchout()" onclick="search_prompt()" style="opacity:0.1;cursor:pointer"');
+$im->stringTTF($black, $fonttype, $fontsize, 0.0, $imagewidth - $xpad - 100, $imageheight - ($ypad2 / 2), " ", "", 'id="matched"');
+
+if ($palette) {
+	read_palette();
+}
+
+# draw frames
+while (my ($id, $node) = each %Node) {
+	my ($func, $depth, $etime) = split ";", $id;
+	my $stime = $node->{stime};
+	my $delta = $node->{delta};
+
+	$etime = $timemax if $func eq "" and $depth == 0;
+
+	my $x1 = $xpad + $stime * $widthpertime;
+	my $x2 = $xpad + $etime * $widthpertime;
+	my ($y1, $y2);
+	unless ($inverted) {
+		$y1 = $imageheight - $ypad2 - ($depth + 1) * $frameheight + $framepad;
+		$y2 = $imageheight - $ypad2 - $depth * $frameheight;
+	} else {
+		$y1 = $ypad1 + $depth * $frameheight;
+		$y2 = $ypad1 + ($depth + 1) * $frameheight - $framepad;
+	}
+
+	my $samples = sprintf "%.0f", ($etime - $stime) * $factor;
+	(my $samples_txt = $samples) # add commas per perlfaq5
+		=~ s/(^[-+]?\d+?(?=(?>(?:\d{3})+)(?!\d))|\G\d{3}(?=\d))/$1,/g;
+
+	my $info;
+	if ($func eq "" and $depth == 0) {
+		$info = "all ($samples_txt $countname, 100%)";
+	} else {
+		my $pct = sprintf "%.2f", ((100 * $samples) / ($timemax * $factor));
+		my $escaped_func = $func;
+		# clean up SVG breaking characters:
+		$escaped_func =~ s/&/&amp;/g;
+		$escaped_func =~ s/</&lt;/g;
+		$escaped_func =~ s/>/&gt;/g;
+		$escaped_func =~ s/"/&quot;/g;
+		$escaped_func =~ s/_\[[kwij]\]$//;	# strip any annotation
+		unless (defined $delta) {
+			$info = "$escaped_func ($samples_txt $countname, $pct%)";
+		} else {
+			my $d = $negate ? -$delta : $delta;
+			my $deltapct = sprintf "%.2f", ((100 * $d) / ($timemax * $factor));
+			$deltapct = $d > 0 ? "+$deltapct" : $deltapct;
+			$info = "$escaped_func ($samples_txt $countname, $pct%; $deltapct%)";
+		}
+	}
+
+	my $nameattr = { %{ $nameattr{$func}||{} } }; # shallow clone
+	$nameattr->{class}       ||= "func_g";
+	$nameattr->{onmouseover} ||= "s(this)";
+	$nameattr->{onmouseout}  ||= "c()";
+	$nameattr->{onclick}     ||= "zoom(this)";
+	$nameattr->{title}       ||= $info;
+	$im->group_start($nameattr);
+
+	my $color;
+	if ($func eq "--") {
+		$color = $vdgrey;
+	} elsif ($func eq "-") {
+		$color = $dgrey;
+	} elsif (defined $delta) {
+		$color = color_scale($delta, $maxdelta);
+	} elsif ($palette) {
+		$color = color_map($colors, $func);
+	} else {
+		$color = color($colors, $hash, $func);
+	}
+	$im->filledRectangle($x1, $y1, $x2, $y2, $color, 'rx="2" ry="2"');
+
+	my $chars = int( ($x2 - $x1) / ($fontsize * $fontwidth));
+	my $text = "";
+	if ($chars >= 3) { # room for one char plus two dots
+		$func =~ s/_\[[kwij]\]$//;	# strip any annotation
+		$text = substr $func, 0, $chars;
+		substr($text, -2, 2) = ".." if $chars < length $func;
+		$text =~ s/&/&amp;/g;
+		$text =~ s/</&lt;/g;
+		$text =~ s/>/&gt;/g;
+	}
+	$im->stringTTF($black, $fonttype, $fontsize, 0.0, $x1 + 3, 3 + ($y1 + $y2) / 2, $text, "");
+
+	$im->group_end($nameattr);
+}
+
+print $im->svg;
+
+if ($palette) {
+	write_palette();
+}
+
+# vim: ts=8 sts=8 sw=8 noexpandtab
+
diff --git a/lbsmaps b/lbsmaps
deleted file mode 100755
index 2e6cce7005fc86c00eab0268dc2ea2e5e7bf9fd8..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/measureThroughput.sh b/measureThroughput.sh
deleted file mode 100755
index 860265b5..00000000
--- a/measureThroughput.sh
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/bin/sh
-
-# create a temporary directory for benchmark logs
-rm -rf results
-mkdir results
-cd results
-
-# run effectively the benchmark
-runTest.py --bestPoints -n 10000 --numa $1
-
-# extract throughput from the logs
-extract.py . >& /dev/null
-cd ..
-
-# compute final number
-throughput=$(computeThroughput.py results/extractedData 2>&1)
-
-# tar and zip the logs
-tar cjf results.tbz results
-
-# cleanup
-rm -rf results
-
-# spit out the output
-echo "Throughput : $throughput"
diff --git a/optionFiles/CutNoFit.py b/optionFiles/CutNoFit.py
deleted file mode 100644
index 7ba6c376..00000000
--- a/optionFiles/CutNoFit.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from HLT1BaseLine import setupHLT1Reconstruction
-from SetupHelper import setupGaudiCore, setupInput
-from GaudiKernel.SystemOfUnits import mm, GeV
-
-def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
-    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['PrForwardTrackingFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
-    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000, IPCut=True, IPCutVal=0.1*mm, VeloMinPT=0.8*GeV, FTMinPT=1.0*GeV)
-    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
-
-if __name__ == "__builtin__":
-    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/CutWithFit.py b/optionFiles/CutWithFit.py
deleted file mode 100644
index 8e334790..00000000
--- a/optionFiles/CutWithFit.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from HLT1BaseLine import setupHLT1Reconstruction
-from SetupHelper import setupGaudiCore, setupInput
-from GaudiKernel.SystemOfUnits import mm, GeV
-
-def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
-    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['ForwardFitterAlgParamFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
-    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000, IPCut=True, IPCutVal=0.1*mm, VeloMinPT=0.8*GeV, FTMinPT=1.0*GeV)
-    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
-
-if __name__ == "__builtin__":
-    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/HLT1BaseLine.py b/optionFiles/HLT1BaseLine.py
deleted file mode 100644
index 576e3d45..00000000
--- a/optionFiles/HLT1BaseLine.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from SetupHelper import setupComponent, setupAlgorithm
-from GaudiKernel.SystemOfUnits import mm, GeV
-
-def setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut = -1, IPCut = False, IPCutVal = 0.1*mm, VeloMinPT = 0.3*GeV, FTMinPT = 0.3 * GeV, Fit=False):
-    '''declare all algorithm used in HLT1'''
-    evtClockSvc = setupComponent('EventClockSvc', InitialTime=1433509200000000000)
-    setupAlgorithm('Gaudi__Hive__FetchDataFromFile', appMgr, hiveDataBroker, instanceName='FetchDataFromFile', iovLockDependency=False, DataKeys = ['/Event/DAQ/RawEvent'])
-    odinPath = '/Event/DAQ/DummyODIN'
-    UTTracksLocation='Rec/Track/Upstream'
-    VeloTracksLocation='Rec/Track/Velo'
-    setupAlgorithm('LHCb__Tests__FakeEventTimeProducer', appMgr, hiveDataBroker, instanceName='DummyEventTime', iovLockDependency=False, Start=evtClockSvc.InitialTime / 1E9, Step=0, ODIN=odinPath)
-    setupAlgorithm('LHCb__DetDesc__ReserveDetDescForEvent', appMgr, hiveDataBroker, instanceName='ReserveIOV', iovLockDependency=False, ODIN=odinPath)
-    setupAlgorithm('createODIN', appMgr, hiveDataBroker, iovLockDependency=False)
-    setupAlgorithm('PrPixelTracking', appMgr, hiveDataBroker, OutputTracksName=VeloTracksLocation, HardFlagging = True, SkipLoopSens = True, MaxMissedOnTrack = 2, MaxMissedConsecutive = 1, PhiWindow = 2.5, PhiWindowExtrapolation = 2.5, ModulesToSkip = [], EarlyKill3HitTracks = True, UsePhiPerRegionsForward = False, BoostPhysics = False, AlgoConfig="ForwardThenBackward")
-    setupAlgorithm('FTRawBankDecoder', appMgr, hiveDataBroker, instanceName='createFTClusters', RawEventLocations = "/Event/DAQ/RawEvent")
-    prFwdTracking = setupAlgorithm('PrForwardTracking', appMgr, hiveDataBroker, instanceName='PrForwardTrackingFast', InputName=UTTracksLocation)
-    from Configurables import PrForwardTool
-    prFwdTracking.addTool(PrForwardTool, "PrForwardTool")
-    prFwdTracking.PrForwardTool.MinPT = FTMinPT
-    setupAlgorithm('VSPClus', appMgr, hiveDataBroker, instanceName='VSPClustering')
-    if GECCut > 0:
-        setupAlgorithm('PrGECFilter', appMgr, hiveDataBroker)
-    else:
-        setupAlgorithm('PrGECFilter', appMgr, hiveDataBroker, NumberFTUTClusters = GECCut)        
-    setupAlgorithm('PrStoreFTHit', appMgr, hiveDataBroker)
-    setupAlgorithm('PrStoreUTHit', appMgr, hiveDataBroker, skipBanksWithErrors = True)
-    setupAlgorithm('PatPV3DFuture', appMgr, hiveDataBroker, instanceName='PatPV3D', InputTracks=VeloTracksLocation)
-    setupAlgorithm('TrackBeamLineVertexFinder', appMgr, hiveDataBroker)
-    setupAlgorithm('PrVeloUT', appMgr, hiveDataBroker, instanceName='PrVeloUTFast', OutputTracksName=UTTracksLocation, doIPCut=IPCut, minIP=IPCutVal, minPT=VeloMinPT)
-    from Configurables import MeasurementProviderT_MeasurementProviderTypes__UTLite_
-    fitter = setupAlgorithm('ParameterizedKalmanFit', appMgr, hiveDataBroker, instanceName='ForwardFitterAlgParamFast', InputName="Rec/Track/Forward", OutputName="Rec/Track/FittedForward", MaxNumOutlier=2, MeasProvider_UT=MeasurementProviderT_MeasurementProviderTypes__UTLite_())
-    from Configurables import TrackMasterExtrapolator, SimplifiedMaterialLocator
-    fitter.addTool( TrackMasterExtrapolator, name="extr")
-    fitter.extr.ApplyMultScattCorr = True
-    fitter.extr.ApplyEnergyLossCorr = False
-    fitter.extr.ApplyElectronEnergyLossCorr = True
-    fitter.extr.addTool(SimplifiedMaterialLocator, name = "MaterialLocator")
diff --git a/optionFiles/NoCutNoFit.py b/optionFiles/NoCutNoFit.py
deleted file mode 100644
index 955bd54a..00000000
--- a/optionFiles/NoCutNoFit.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from HLT1BaseLine import setupHLT1Reconstruction
-from SetupHelper import setupGaudiCore, setupInput
-from GaudiKernel.SystemOfUnits import mm, GeV
-
-def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
-    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['PrForwardTrackingFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
-    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000)
-    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
-
-if __name__ == "__builtin__":
-    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/NoCutWithFit.py b/optionFiles/NoCutWithFit.py
deleted file mode 100644
index f359c23f..00000000
--- a/optionFiles/NoCutWithFit.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from HLT1BaseLine import setupHLT1Reconstruction
-from SetupHelper import setupGaudiCore, setupInput
-from GaudiKernel.SystemOfUnits import mm, GeV
-
-def runTest(nbEventSlots=1, threadPoolSize=1, evtMax=50000, inputFiles=[]):
-    appMgr, hiveDataBroker = setupGaudiCore(topAlgs=['ForwardFitterAlgParamFast'], nbEventSlots=nbEventSlots, threadPoolSize=threadPoolSize, evtMax=evtMax)
-    setupHLT1Reconstruction(appMgr, hiveDataBroker, GECCut=11000)
-    setupInput(inputFiles, fileType='MDF', dataType='Upgrade', DDDBTag="dddb-20171010", CONDDBTag="sim-20180530-vc-md100", Simulation=True)
-
-if __name__ == "__builtin__":
-    runTest(nbEventSlots=1, threadPoolSize=1, evtMax=10000, inputFiles=['/dev/shm/00067189.mdf'])
diff --git a/optionFiles/SetupHelper.py b/optionFiles/SetupHelper.py
deleted file mode 100644
index ea8f3eda..00000000
--- a/optionFiles/SetupHelper.py
+++ /dev/null
@@ -1,47 +0,0 @@
-'''
-  this file provides helper functions symplifying configuration of a Gaudi application
-'''
-def setupComponent(name, instanceName=None, packageName='Configurables', **kwargs):
-    if instanceName == None:
-        instanceName = name
-    imported = getattr(__import__(packageName, fromlist=[name]), name)
-    return imported(instanceName, **kwargs)
-
-def _addIOVLockDependency(configurable):
-    if hasattr(configurable, 'ExtraInputs') and '/Event/IOVLock' not in configurable.ExtraInputs:
-        configurable.ExtraInputs.append('/Event/IOVLock')
-
-def setupAlgorithm(name, appMgr, hiveDataBroker, instanceName=None, iovLockDependency=True, **kwargs):
-    # import and create configurable
-    configurable = setupComponent(name, instanceName=instanceName, **kwargs)
-    # work  around limitations in IOVLock implementation
-    if iovLockDependency:
-        _addIOVLockDependency(configurable)
-    # register it to the applicationManager and hiveDataBroker
-    hiveDataBroker.DataProducers.append(configurable)
-    appMgr.TopAlg.append(configurable)
-    return configurable
-
-def setupGaudiCore(topAlgs, nbEventSlots, threadPoolSize, evtMax):
-    whiteboard = setupComponent('HiveWhiteBoard', instanceName="EventDataSvc", EventSlots=nbEventSlots, ForceLeaves = True)
-    eventloopmgr = setupComponent('HLTControlFlowMgr',
-                                  CompositeCFNodes = [( 'moore', 'NONLAZY_AND', topAlgs, True ),],
-                                  ThreadPoolSize = threadPoolSize)
-    appMgr = setupComponent('ApplicationMgr', packageName='Gaudi.Configuration',  EventLoop = eventloopmgr, EvtMax=evtMax)
-    appMgr.ExtSvc.insert(0, whiteboard)
-    setupComponent('UpdateManagerSvc', WithoutBeginEvent=True)
-    hiveDataBroker = setupComponent('HiveDataBrokerSvc')
-    return appMgr, hiveDataBroker
-
-def setupInput(inputFiles, fileType, dataType, DDDBTag, CONDDBTag, Simulation):
-    from GaudiConf import IOHelper
-    iohelper = IOHelper(fileType, fileType)
-    iohelper.setupServices()
-    evtSel = iohelper.inputFiles(inputFiles)
-    inputs = []
-    for inp in evtSel.Input:
-        inputs.append(inp +" IgnoreChecksum='YES'")
-    evtSel.Input = inputs
-    evtSel.PrintFreq = 10000
-    dddb = setupComponent('DDDBConf', Simulation = True, DataType = dataType)
-    conddb = setupComponent('CondDB', Upgrade = True, Tags = { "DDDB": DDDBTag, "SIMCOND" : CONDDBTag })
diff --git a/plotAlgoUsage.py b/plotAlgoUsage.py
deleted file mode 100644
index f84987f0..00000000
--- a/plotAlgoUsage.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import sys
-import numpy
-import matplotlib
-matplotlib.use('Agg')
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-
-def extractData(fileName, skipEvts=10):
-    f = open(fileName, 'r')
-    res = {}
-    evtset = set([])
-    for l in f.readlines()[1:]:
-        s, e, a, t, sl, ne = l.split()  #start end algorithm thread slot event
-        if a.find('Seq') >= 0 or a == 'Reco':
-            continue
-        evtset.add(ne)
-        s = int(s)
-        e = int(e)
-        if a not in res:
-            res[a] = 0
-        res[a] += e-s
-    f.close()
-    return len(evtset), res
-
-nbevts, data = extractData(sys.argv[1])
-print nbevts, data
-
-# cleanup data, by merging everything below 2%
-cdata = {}
-s = sum(data.values())
-other = 0
-for alg in data:
-    if data[alg] < s*0.025:
-        other += data[alg]
-    else:
-        cdata[alg] = data[alg]
-cdata['other'] = other
-
-# compute time spent per event
-throughput = 1000000000.0*nbevts/s
-
-# Setup colors
-colors = cm.rainbow(numpy.linspace(0., 1., len(cdata.keys())))
-
-plt.axes(aspect=1)
-plt.pie(cdata.values(), [0.02] * len(cdata.keys()), cdata.keys(), autopct='%1.1f%%', shadow=True, startangle=90, colors=colors)
-#plt.title('Throughput : %.1f evts/s/thread' % throughput)
-#plt.title('Time Usage in MiniBrunel')
-plt.savefig('./algousage.png')
diff --git a/plotMem.py b/plotMem.py
deleted file mode 100644
index 638b3671..00000000
--- a/plotMem.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import sys, os, numpy
-
-times, mems = eval(open(sys.argv[1]).read())
-
-import matplotlib.pyplot as plt
-plt.xlabel('Nb cores/threads')
-plt.ylabel('Max resident memory usage (MB)')
-plt.title('Memory usage on multi-cores')
-
-for cmtconfig in mems:
-    nbJobsSet = set([nj for (nt,nj,ishive) in mems[cmtconfig].keys() if ishive])
-    for nbJobs in sorted(list(nbJobsSet)):
-        keys = sorted([(nt,nj,ishive) for (nt,nj,ishive) in mems[cmtconfig].keys() if nj == nbJobs and ishive])
-        plt.plot([nt*nj for (nt,nj,ishive) in keys], [mems[cmtconfig][(nt,nj,ishive)] for (nt,nj,ishive) in keys], marker='o', label='%d jobs' % (nbJobs))
-
-plt.legend(loc=4)
-plt.show()
diff --git a/plotSpeedup.py b/plotScaling.py
similarity index 76%
rename from plotSpeedup.py
rename to plotScaling.py
index 92f37079..b6dcc162 100644
--- a/plotSpeedup.py
+++ b/plotScaling.py
@@ -1,4 +1,6 @@
 import sys
+import os
+import re
 import numpy
 import matplotlib
 matplotlib.use('Agg')
@@ -6,14 +8,6 @@ import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 import matplotlib.patches as patches
 
-times, mems = eval(open(sys.argv[1]).read())
-
-# Extract data from input
-if len(times.keys()) > 1:
-    print "Not supporting mixed CMTCONFIG, giving up"
-    sys.exit(-1)
-times = times[times.keys()[0]]
-
 def linExtrapolate(p1, p2, x):
     '''given 2 points in x,y format and an x in between,
        returns the linear extrapolation of the corresponding y value'''
@@ -83,40 +77,61 @@ def getEnvelop(points):
     # build
     return xtop, ytop
 
+files = [f for f in os.listdir('./') if 'ThroughputTest' in f]
+regex = re.compile("Evts\/s = ([\d.]+)")
+
+content = {}
+
+for f in files:
+    with open(f) as of:
+
+        tmp = f.split('.')
+        t = int(tmp[2][:-1])
+        j = int(tmp[3][:-1])
+        e = int(tmp[4][:-1])
+        i = int(tmp[5])
+        key = (t,j,e)
+        lines = of.readlines()
+
+        for l in lines[::-1]:
+            tmp   = regex.search(l)
+            if tmp:
+                if key in content:
+                    content[key] += float(tmp.group(1))
+                else:
+                    content[key] = float(tmp.group(1))
+
+                break
+
+
 # compute full list of points to display from the raw values
 # each point is a couple x, y and lists are indexed by nbThreads
 points = {}
-pointsNH = []
-for nt, nj, useHive in times:
-    nbEvents, duration = times[(nt,nj,useHive)]
-    if useHive:
-        if nt not in points:
-            points[nt] = []
-        points[nt].append((nt*nj, nbEvents/duration))
-    else:
-        pointsNH.append((nt*nj, nbEvents/duration))
+for (nt,nj,events), val in content.items():
+    if nt not in points:
+        points[nt] = []
+    points[nt].append((nt*nj, val))
+# # get envelop
+xenv, yenv = getEnvelop(sum(points.values(), []))
+plt.plot(xenv, yenv, label='best hive perf', color='black')
 
 try:
-    # get envelop
-    xenv, yenv = getEnvelop(sum(points.values(), []))
-    plt.plot(xenv, yenv, label='best hive perf', color='black')
     mjline = extrapolatePoints(sorted(points[1]), xenv)
-    nhline = extrapolatePoints(sorted(pointsNH), xenv)
-    # # Setup colors 
+    # # Setup colors
     #colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
     # # plot and fill envelop, multi-job and non hive
-    plt.plot(xenv, nhline, marker='x', label='non Hive', color=(.4,.4,.4))
     plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
     plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
 except:
     pass
 
 max_throughput = 0
-max_nt = 1
-
+max_nt = -1
+max_j  = -1
 #xenv, yenv = getEnvelop(sum(pointsNH.values(), []))
 colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
 # plot all dots
+
 for nt in sorted(points.keys()):
     if nt == 1:
         continue
@@ -124,19 +139,15 @@ for nt in sorted(points.keys()):
     if max(yps) > max_throughput:
         max_throughput = max(yps)
         max_nt = nt
-    plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt])
+        max_j  = xps[numpy.argmax(yps)]/nt
+    plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt], alpha=.7)
 
-print max_throughput, nt
+print("Max reached throughput {} at {} jobs with {} threads".format(max_throughput,max_j, max_nt))
 
 # rework labels
 ax = plt.axes()
-# handles,labels = ax.get_legend_handles_labels()
-# handles = [handles[0]] + handles[3:] + \
-#           [handles[1], patches.Rectangle((0, 0), 1, 1, hatch="\\\\\\", edgecolor='black', facecolor="none")]
-# labels = [labels[0]] + labels[3:] + labels[1:3]
-# plt.legend(handles, labels, loc=4, ncol=2)
 plt.legend(loc=4, ncol=2)
 ax.grid(color=(.9,.9,.9))
 plt.xlabel('Level of parallelization (nb threads x nb jobs)')
 plt.ylabel('Events / s')
-plt.savefig('./throughput.png')
+plt.savefig('./scalingTest.png')
diff --git a/runTest.py b/runTest.py
deleted file mode 100755
index c9044249..00000000
--- a/runTest.py
+++ /dev/null
@@ -1,146 +0,0 @@
-#!/usr/bin/env python
-"""Runs MiniBrunel with a set of parameters"""
-
-__author__ = "Sebastien Ponce"
-
-import re
-import os
-import sys
-import argparse
-import subprocess
-import tempfile
-import itertools
-
-def prepareInput(inputFileName, outputFileName, threads, events, useHive):
-    '''create new input file from a base and options'''
-    # write content to temp file
-    fd, configFileName = tempfile.mkstemp(suffix=".py")
-    outputFile = open(configFileName, 'w')
-    outputFile.write('from Configurables import MiniBrunel\n')
-    outputFile.write('mbrunel = MiniBrunel()\n')
-    outputFile.write('mbrunel.EvtMax = %d\n' % events)
-    if useHive:
-        outputFile.write('mbrunel.ThreadPoolSize = %d\n' % threads)
-        outputFile.write('mbrunel.EventSlots = %d\n' % (2*threads))
-    outputFile.write('mbrunel.GECCut = 11500\n')
-    outputFile.write('mbrunel.HLT1Only = True\n')
-    outputFile.write('mbrunel.HLT1BestPerf = True\n')
-    outputFile.write('mbrunel.EnableHive = %s\n' % useHive)
-    outputFile.write('mbrunel.HLT1Fitter = True\n')
-    outputFile.write('mbrunel.InputData = ["%s"]*%d\n' % (inputFileName, threads))
-    outputFile.write('mbrunel.TimelineFile = "%s.csv"\n' % outputFileName)
-    outputFile.write('mbrunel.RunFastForwardFitter = False\n')
-    outputFile.write('mbrunel.EnableHLTEventLoopMgr = True\n')
-    outputFile.write('mbrunel.IgnoreChecksum = True\n')
-    outputFile.close()
-    # return temp file name
-    return configFileName
-
-def runTest(inputFileName, baseOutputFileName, threads, firstevent, events, nbjobs, useHive, nbNumaNodes, measureMem):
-    '''Run a test with the given options'''
-    # start the different processes in parallel
-    processes = []
-    for jobNb in range(nbjobs):
-        # create inputFile
-        outputFileName = baseOutputFileName % jobNb
-        configFileName = prepareInput(inputFileName, outputFileName, threads, threads*events, useHive)
-        # open log file
-        outputFile = open("%s.log" % outputFileName, 'w')
-        # build command line
-        cmdLine = ["gaudirun.py", configFileName]
-        # memory measurement
-        if measureMem:
-            cmdLine = ["lbsmaps", "-o", "%s.xml" % outputFileName] + cmdLine
-        # deal with numa if needed
-        if nbNumaNodes > 1:
-            node = jobNb % nbNumaNodes
-            cmdLine = ["numactl", "-N", str(node), "--"] + cmdLine
-        # run the test
-        processes.append((subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT), outputFile, configFileName))
-    # wait for all processes and massage output
-    for (process, outputFile, configFileName) in processes:
-        process.wait()
-        outputFile.close()
-        # cleanup inputFile
-        os.remove(configFileName)
-
-def main():
-    '''Main method : parses options and calls runTest'''
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument('-t', '--threads', type=str, default='1',
-                        help='list of nb of threads per job to run the test for, comma separated')
-    group = parser.add_mutually_exclusive_group(required=True)
-    group.add_argument('-j', '--jobs', type=str, default='1',
-                        help='list of nb of jobs to run the test for, comma separated')
-    group.add_argument('-p', '--points', type=str,
-                        help='explicit list of points (ie nb threads:nbjobs) to run the test for, comma separated')
-    parser.add_argument('-m', '--maxthreads', type=int, default='-1',
-                        help='maximum number of threads allowed. This allows to ignore some combinations of -t and -j that would lead to too many concurrent threads. Defaults to -1, that is disabled')
-    parser.add_argument('-n', '--events', default=1000, type=int,
-                        help='nb of events to process per thread')
-    parser.add_argument('-e', '--firstevent', default=0, type=int,
-                        help='nb of first event, default is 0')
-    parser.add_argument('-r', '--runs', default=1, type=int,
-                        help='nb of runs of the test, default is 1')
-    parser.add_argument('-f', '--firstrun', default=0, type=int,
-                        help='nb of first run, default is 0')
-    parser.add_argument('-o', '--onlyhive', action='store_true',
-                        help='whether to only run in hive mode, not running non hive cases')
-    parser.add_argument('--numa', action='store_true',
-                        help='whether to respect numa domains. If true, numactl is used to launch jobs in domains in a round-robin fashion')
-    group.add_argument('--bestPoints', action='store_true',
-                        help='let the tool run for the best combinations of threads and jobs for the node (checking number of cores and respecting numa settings)')
-    group.add_argument('--memory', action='store_true',
-                        help='activates memory measurements')
-    parser.add_argument('inputFileName', type=str,
-                        help='Input file name. Needs to have enough events for feeding 1 thread. Then it will be reused')
-    args = parser.parse_args()
-
-    # deal with numa config
-    nbNumaNodes = 1
-    if args.numa:
-        try:
-            output = subprocess.check_output(["numactl", "-show"])
-            nodeline = [line for line in output.split('\n') if line.startswith('nodebind')][0]
-            nbNumaNodes = len(nodeline.split()) - 1
-        except:
-            # numactl not existing
-            print 'Warning : --numa given but numactl not found, ignoring --numa'
-
-    # deal with list of points to use for the test
-    if args.bestPoints:
-        output = subprocess.check_output(["lscpu"])
-        cpuline = [line for line in output.split('\n') if line.startswith('CPU(s):')][0]
-        nbCores = int(cpuline.split()[-1])
-        nbCoresPerNumaNode = nbCores / nbNumaNodes
-        # fully threaded points : one job per numa node
-        points = [(nbCoresPerNumaNode, nbNumaNodes), (nbCoresPerNumaNode+2, nbNumaNodes), (nbCoresPerNumaNode+4, nbNumaNodes)]
-        # 2 jobs per numa node
-        points += [(nbCoresPerNumaNode/2, 2*nbNumaNodes), (nbCoresPerNumaNode/2+1, 2*nbNumaNodes), (nbCoresPerNumaNode/2+2, 2*nbNumaNodes)]
-    elif args.points:
-        points = [map(int, item.split(':')) for item in args.points.split(',')]
-    else:
-        nbthreads = map(int,args.threads.split(','))
-        nbjobs = map(int,args.jobs.split(','))
-        points = itertools.product(nbthreads, nbjobs)
-    print "Lists of configurations used (nbThreads, nbJobs) :", list(points)
-
-    for nthreads, njobs in points:
-        # check total number of threads
-        if args.maxthreads > 0 and nthreads * njobs > args.maxthreads:
-            continue
-        # run the test the specified number of times
-        for i in range(args.runs):
-            outputFilebaseName = 'MiniBrunel-HTL1.%s.%dt.%dj.hive.%de.%d.%%d' % (os.environ['CMTCONFIG'], nthreads, njobs, args.events, args.firstrun+i)
-            runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, True, nbNumaNodes, args.memory)
-        # in case of single thread, maybe also run non hive mode
-        if nthreads == 1 and not args.onlyhive:
-            for i in range(args.runs):
-                outputFilebaseName = 'MiniBrunel-HTL1.%s.1t.%dj.nohive.%de.%d.%%d' % (os.environ['CMTCONFIG'], njobs, args.events, args.firstrun+i)
-                runTest(args.inputFileName, outputFilebaseName, nthreads, args.firstevent, args.events, njobs, False, nbNumaNodes, args.memory)
-
-if __name__ == '__main__':
-    sys.exit(main())
-
-# Nice list of points for getting quickly something visible and nice plots in the long term
-# 1:1,1:16,1:32,1:48,1:64,2:1,2:8,2:16,2:24,2:32,4:1,4:4,4:8,4:12,4:16,8:1,8:2,8:4,8:6,8:8,12:1,12:2,12:4,12:5,16:1,16:2,16:3,16:4
diff --git a/stackcollapse-vtune.pl b/stackcollapse-vtune.pl
new file mode 100755
index 00000000..6f8fc5d3
--- /dev/null
+++ b/stackcollapse-vtune.pl
@@ -0,0 +1,81 @@
+#!/usr/bin/perl -w
+#
+# FILE TAKEN FROM https://github.com/brendangregg/FlameGraph/blob/master/stackcollapse-vtune.pl
+#
+# stackcollapse-vtune.pl
+#
+# Parses the CSV file containing a call tree from Intel VTune hotspots profiler and produces an output suitable for flamegraph.pl.
+#
+# USAGE: perl stackcollapse-vtune.pl infile > outfile
+#
+# WORKFLOW:
+#
+# This assumes you have Intel VTune installed and on path (using Command Line)
+#
+# 1. Profile C++ application tachyon_find_hotspots (example shipped with Intel VTune 2013):
+#
+#    amplxe-cl -collect hotspots -r result_vtune_tachyon -- ./tachyon_find_hotspots
+#
+# 2. Export raw VTune data to csv file:
+#    ###for Intel VTune 2013
+#    amplxe-cl -R top-down -call-stack-mode all -report-out result_vtune_tachyon.csv -filter "Function Stack" -format csv -csv-delimiter comma -r result_vtune_tachyon
+#
+#    ###for Intel VTune 2015 & 2016
+#    amplxe-cl -R top-down -call-stack-mode all -column="CPU Time:Self","Module" -report-out result_vtune_tachyon.csv -filter "Function Stack" -format csv -csv-delimiter comma -r result_vtune_tachyon
+#
+# 3. Generate a flamegraph:
+#
+#    perl stackcollapse-vtune result_vtune_tachyon.csv | perl flamegraph.pl > result_vtune_tachyon.svg
+#
+# AUTHOR: Rohith Bakkannagari
+
+use strict;
+
+# data initialization
+my @stack = ();
+my $rowCounter = 0; #flag for row number
+
+my $numArgs = $#ARGV + 1;
+if ($numArgs != 1)
+{
+print "$ARGV[0]\n";
+print "Usage : stackcollapse-vtune.pl <out.cvs> > out.txt\n";
+exit;
+}
+
+my $inputCSVFile = $ARGV[0];
+
+open(my $fh, '<', $inputCSVFile) or die "Can't read file '$inputCSVFile' [$!]\n";
+
+while (my $currLine = <$fh>){
+	$rowCounter = $rowCounter + 1;
+	# to discard first row which typically contains headers
+	next if $rowCounter == 1;
+	chomp $currLine;
+	#VTune - sometimes the call stack information is enclosed in double quotes (?).  To remove double quotes.
+	$currLine =~ s/\"//g;
+
+	### for Intel VTune 2013
+	#$currLine =~ /(\s*)(.*),(.*),[0-9]*\.?[0-9]+[%],([0-9]*\.?[0-9]+)/ or die "Error in regular expression on the current line\n";
+	#my $func = $3.'!'.$2;
+	#my $depth = length ($1);
+	#my $selfTime = $4*1000; # selfTime in msec
+
+	### for Intel VTune 2015 & 2016
+	$currLine =~ /(\s*)(.*?),([0-9]*\.?[0-9]+?),(.*)/ or die "Error in regular expression on the current line $currLine\n";
+	my $func = $4.'!'.$2;
+	my $depth = length ($1);
+	my $selfTime = $3*1000; # selfTime in msec
+
+	my $tempString = '';
+	$stack [$depth] = $func;
+	foreach my $i (0 .. $depth - 1) {
+		$tempString = $tempString.$stack[$i].";";
+	}
+	$tempString = $tempString.$func." $selfTime\n";
+
+	if ($selfTime != 0){
+		print "$tempString";
+	}
+}
+
diff --git a/timeBetweenWithin_AndPlot.py b/timeBetweenWithin_AndPlot.py
deleted file mode 100644
index 4e50eb07..00000000
--- a/timeBetweenWithin_AndPlot.py
+++ /dev/null
@@ -1,66 +0,0 @@
-#usage (i)python parse_timelineInformation.py path/to/timeline.csv
-from __future__ import print_function
-import numpy as np
-from sys import argv
-import pandas as pd
-import matplotlib.pyplot as plt
-
-#parse from csv file
-full_data = pd.read_csv(argv[1], delimiter= ' ')
-
-data_split_names = full_data.groupby('algorithm')
-data_split_thread = full_data.groupby('thread')
-
-total_sum_within_algs = 0 #sum of time taken within all algorithms
-total_sum_between_algs = 0 #sum of time taken between each two adjacent algorithms
-total_sum_between_events = 0 #startup time of an event?
-
-for datatup in data_split_thread:
-    data = datatup[1]
-    sum_within_algs = 0
-    sum_between_algs = 0
-
-    for i in range(len(data)):
-        sum_within_algs += data.iloc[i]['end'] - data.iloc[i]['#start']
-    for i in range(len(data)-1):
-        sum_between_algs += data.iloc[i+1]['#start'] - data.iloc[i]['end']
-        if data.iloc[i+1]['event'] != data.iloc[i]['event']:
-            total_sum_between_events += data.iloc[i+1]['#start'] - data.iloc[i]['end']
-
-    total_sum_within_algs += sum_within_algs
-    total_sum_between_algs += sum_between_algs
-
-
-
-print("\ntotal sum of time between algs: {}".format(total_sum_between_algs))
-print("startup time (time between events) : {}".format(total_sum_between_events))
-print("This is about {:.1f}% of the total in-between time (between event / between algs)".format(total_sum_between_events*100./total_sum_between_algs))
-print("--------------------------------------------------------")
-print("total sum of time within algs: {}".format(total_sum_within_algs))
-print("about {:.1f}% of the total time is used between algs (between / (within+between))".format(total_sum_between_algs*100./(total_sum_within_algs+total_sum_between_algs)))
-print("--------------------------------------------------------")
-
-
-algtimes = dict()
-for datatup in data_split_names:
-    data = datatup[1]
-    sum_alg_time = 0
-    for i in range(len(data)):
-        sum_alg_time += data.iloc[i]['end'] - data.iloc[i]['#start']
-
-    algtimes[datatup[0]] = sum_alg_time #data[0,2] = algorithm name
-
-
-#final summary
-for k,v in algtimes.items():
-    print( "total time of {}: {}".format(k,v))
-
-algtimes_sorted = dict(sorted(algtimes.items(), key=lambda x:x[1]))
-
-plt.barh(range(len(algtimes_sorted)), list(algtimes_sorted.values()), align='center')
-plt.yticks(range(len(algtimes_sorted)), list(algtimes_sorted.keys()))
-
-if len(argv) == 3:
-    plt.savefig(argv[2])
-
-plt.show()
-- 
GitLab


From 8185087216f229286c9c93cdd8080deed52d3601 Mon Sep 17 00:00:00 2001
From: Christoph Hasse <christoph.hasse@cern.ch>
Date: Tue, 22 Jan 2019 13:18:00 +0000
Subject: [PATCH 43/96] Some small tunings to the new benchmark scripts

---
 RunThroughputJobs.py |  12 +++-
 cleanup.sh           |   8 +++
 doScaling.py         |   2 +-
 plotScaling.py       | 160 +++++++++++++++++++++++--------------------
 4 files changed, 105 insertions(+), 77 deletions(-)
 create mode 100755 cleanup.sh

diff --git a/RunThroughputJobs.py b/RunThroughputJobs.py
index 376c4ef1..440b8924 100755
--- a/RunThroughputJobs.py
+++ b/RunThroughputJobs.py
@@ -48,11 +48,14 @@ def main():
                         help='nb of threads per job')
 
     parser.add_argument('-e', '--evtSlots', type=int, default=-1,
-                        help='nb of event slots per job (default: nb of threads per job + 10%)')
+                        help='nb of event slots per job (default: nb of threads per job + 10%%)')
 
     parser.add_argument('-n', '--events', default=1000, type=int,
                         help='nb of events to process per thread (default: 1000)')
 
+    parser.add_argument('--outfileTag', type=str, default='',
+                        help="Output file name tag, name will be 'ThroughputTest_TAG_...' .(default: '')")
+
     parser.add_argument('OptsFileName', type=str,
                         help='Option file name which defines the reconstruction sequence to run.')
 
@@ -124,8 +127,13 @@ def main():
     myenv['OPTSFILE'] = args.OptsFileName
 
     runningJobs=[]
+
+    tag = ''
+    if args.outfileTag != '':
+        tag = '_' + args.outfileTag + '_'
+
     for job in range(args.jobs):
-        outputFileName = 'ThroughputTest.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
+        outputFileName = 'ThroughputTest{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(tag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
         runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
 
     throughputs = []
diff --git a/cleanup.sh b/cleanup.sh
new file mode 100755
index 00000000..b6f7f4ef
--- /dev/null
+++ b/cleanup.sh
@@ -0,0 +1,8 @@
+#! /usr/bin/bash
+
+set -euo pipefail
+
+rm -rf profile_out
+rm -f ThroughputTest*.log
+rm *.png
+rm *.svg
diff --git a/doScaling.py b/doScaling.py
index 74794a44..92a26d26 100644
--- a/doScaling.py
+++ b/doScaling.py
@@ -41,7 +41,7 @@ def main():
     for conf in configs:
         jobs, threads, eventslots, events = conf.split(':')
 
-        cmdLine = ['python', './RunThroughputJobs.py', '-e', eventslots, '-t', threads,
+        cmdLine = ['python', './RunThroughputJobs.py','--outfileTag','Scaling', '-e', eventslots, '-t', threads,
                     '-j', jobs, '-n', events, args.OptsFileName, args.TestFileDBKey, '-f'] + args.inputFileNames
 
         print("Starting config " + conf)
diff --git a/plotScaling.py b/plotScaling.py
index b6dcc162..10228c74 100644
--- a/plotScaling.py
+++ b/plotScaling.py
@@ -2,6 +2,7 @@ import sys
 import os
 import re
 import numpy
+import argparse
 import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
@@ -77,77 +78,88 @@ def getEnvelop(points):
     # build
     return xtop, ytop
 
-files = [f for f in os.listdir('./') if 'ThroughputTest' in f]
-regex = re.compile("Evts\/s = ([\d.]+)")
-
-content = {}
-
-for f in files:
-    with open(f) as of:
-
-        tmp = f.split('.')
-        t = int(tmp[2][:-1])
-        j = int(tmp[3][:-1])
-        e = int(tmp[4][:-1])
-        i = int(tmp[5])
-        key = (t,j,e)
-        lines = of.readlines()
-
-        for l in lines[::-1]:
-            tmp   = regex.search(l)
-            if tmp:
-                if key in content:
-                    content[key] += float(tmp.group(1))
-                else:
-                    content[key] = float(tmp.group(1))
-
-                break
-
-
-# compute full list of points to display from the raw values
-# each point is a couple x, y and lists are indexed by nbThreads
-points = {}
-for (nt,nj,events), val in content.items():
-    if nt not in points:
-        points[nt] = []
-    points[nt].append((nt*nj, val))
-# # get envelop
-xenv, yenv = getEnvelop(sum(points.values(), []))
-plt.plot(xenv, yenv, label='best hive perf', color='black')
-
-try:
-    mjline = extrapolatePoints(sorted(points[1]), xenv)
-    # # Setup colors
-    #colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
-    # # plot and fill envelop, multi-job and non hive
-    plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
-    plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
-except:
-    pass
-
-max_throughput = 0
-max_nt = -1
-max_j  = -1
-#xenv, yenv = getEnvelop(sum(pointsNH.values(), []))
-colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
-# plot all dots
-
-for nt in sorted(points.keys()):
-    if nt == 1:
-        continue
-    xps, yps = zip(*points[nt])
-    if max(yps) > max_throughput:
-        max_throughput = max(yps)
-        max_nt = nt
-        max_j  = xps[numpy.argmax(yps)]/nt
-    plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt], alpha=.7)
-
-print("Max reached throughput {} at {} jobs with {} threads".format(max_throughput,max_j, max_nt))
-
-# rework labels
-ax = plt.axes()
-plt.legend(loc=4, ncol=2)
-ax.grid(color=(.9,.9,.9))
-plt.xlabel('Level of parallelization (nb threads x nb jobs)')
-plt.ylabel('Events / s')
-plt.savefig('./scalingTest.png')
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('--directory', default='./', type=str,
+                        help='Directory containing input files')
+
+    args  = parser.parse_args()
+
+    files = [args.directory+f for f in os.listdir(args.directory) if 'ThroughputTest_Scaling_' in f]
+    regex = re.compile("Evts\/s = ([\d.]+)")
+
+    content = {}
+
+    for f in files:
+        with open(f) as of:
+
+            tmp = f.split('/')[-1].split('.')
+            t = int(tmp[2][:-1])
+            j = int(tmp[3][:-1])
+            e = int(tmp[4][:-1])
+            i = int(tmp[5])
+            key = (t,j,e)
+            lines = of.readlines()
+
+            for l in lines[::-1]:
+                tmp   = regex.search(l)
+                if tmp:
+                    if key in content:
+                        content[key] += float(tmp.group(1))
+                    else:
+                        content[key] = float(tmp.group(1))
+
+                    break
+
+
+    # compute full list of points to display from the raw values
+    # each point is a couple x, y and lists are indexed by nbThreads
+    points = {}
+    for (nt,nj,events), val in content.items():
+        if nt not in points:
+            points[nt] = []
+        points[nt].append((nt*nj, val))
+    # # get envelop
+    xenv, yenv = getEnvelop(sum(points.values(), []))
+    plt.plot(xenv, yenv, label='best hive perf', color='black')
+
+    try:
+        mjline = extrapolatePoints(sorted(points[1]), xenv)
+        # # Setup colors
+        #colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+        # # plot and fill envelop, multi-job and non hive
+        plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
+        plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+    except:
+        pass
+
+    max_throughput = 0
+    max_nt = -1
+    max_j  = -1
+    #xenv, yenv = getEnvelop(sum(pointsNH.values(), []))
+    colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+    # plot all dots
+
+    for nt in sorted(points.keys()):
+        if nt == 1:
+            continue
+        xps, yps = zip(*points[nt])
+        if max(yps) > max_throughput:
+            max_throughput = max(yps)
+            max_nt = nt
+            max_j  = xps[numpy.argmax(yps)]/nt
+        plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt], alpha=.7)
+
+    print("Max reached throughput {} at {} jobs with {} threads".format(max_throughput,max_j, max_nt))
+
+    # rework labels
+    ax = plt.axes()
+    plt.legend(loc=4, ncol=2)
+    ax.grid(color=(.9,.9,.9))
+    plt.xlabel('Level of parallelization (nb threads x nb jobs)')
+    plt.ylabel('Events / s')
+    plt.savefig('./scalingTest.png')
+
+if __name__ == '__main__':
+    sys.exit(main())
-- 
GitLab


From 1f8a131048c25401654e8f9280103d30cd5fbf86 Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 24 Jan 2019 13:46:52 +0000
Subject: [PATCH 44/96] fix for missing slash in path

---
 plotScaling.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/plotScaling.py b/plotScaling.py
index 10228c74..ea715e90 100644
--- a/plotScaling.py
+++ b/plotScaling.py
@@ -86,7 +86,7 @@ def main():
 
     args  = parser.parse_args()
 
-    files = [args.directory+f for f in os.listdir(args.directory) if 'ThroughputTest_Scaling_' in f]
+    files = [os.path.join(args.directory,f) for f in os.listdir(args.directory) if 'ThroughputTest_Scaling_' in f]
     regex = re.compile("Evts\/s = ([\d.]+)")
 
     content = {}
-- 
GitLab


From c0a4377a225db0ead9a3a2293c0f6403d06d2b2f Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maciej.szymanski@cern.ch>
Date: Fri, 25 Jan 2019 14:11:58 +0000
Subject: [PATCH 45/96] add wrapper scripts

---
 runProfile.sh | 8 ++++++++
 runScaling.sh | 6 ++++++
 2 files changed, 14 insertions(+)
 create mode 100755 runProfile.sh
 create mode 100755 runScaling.sh

diff --git a/runProfile.sh b/runProfile.sh
new file mode 100755
index 00000000..e92fd7e5
--- /dev/null
+++ b/runProfile.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+
+./cleanup.sh
+
+python RunThroughputJobs.py --outfileTag Profile -e 24 -t 20 -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+
+python RunThroughputJobs.py --outfileTag MaxThrough -e 24 -t 20 -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+
diff --git a/runScaling.sh b/runScaling.sh
new file mode 100755
index 00000000..ef45a6b3
--- /dev/null
+++ b/runScaling.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+
+./cleanup.sh
+
+python doScaling.py $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+
-- 
GitLab


From de3136a8fbfe9f520c963719199b9d18399131a9 Mon Sep 17 00:00:00 2001
From: Christoph Hasse <christoph.hasse@cern.ch>
Date: Wed, 6 Mar 2019 18:10:34 +0000
Subject: [PATCH 46/96] add --cp flag to flamegraph command to use same
 colormap for all graphs

---
 doprofile.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doprofile.sh b/doprofile.sh
index 32b18fca..41731f22 100755
--- a/doprofile.sh
+++ b/doprofile.sh
@@ -9,6 +9,6 @@ amplxe-cl -collect hotspots -d 60 -target-pid=${1} -r profile_out > /dev/null
 amplxe-cl -R top-down -column="CPU Time:Self","Module" -report-out result.csv -format csv -csv-delimiter comma -r profile_out
 sed -i '1d' result.csv > /dev/null
 
-./stackcollapse-vtune.pl result.csv | ./flamegraph.pl --title "HLT1 Flame Graph" --minwidth 2 --width 1600 > flamy.svg
+./stackcollapse-vtune.pl result.csv | ./flamegraph.pl --cp --title "HLT1 Flame Graph" --minwidth 2 --width 1600 > flamy.svg
 
 echo "Done"
-- 
GitLab


From 7139f57f0dec5387a0127d13d6af8571c0ab513a Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maciej.szymanski@cern.ch>
Date: Fri, 15 Mar 2019 09:49:58 +0100
Subject: [PATCH 47/96] adding palette.map file

---
 palette.map | 193 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 193 insertions(+)
 create mode 100644 palette.map

diff --git a/palette.map b/palette.map
new file mode 100644
index 00000000..220d0f4f
--- /dev/null
+++ b/palette.map
@@ -0,0 +1,193 @@
+->rgb(214,18,24)
+[Unknown]!Total->rgb(218,220,5)
+_ctypes.so!PyCFuncPtr_call->rgb(215,222,16)
+_ctypes.so!_call_function_pointer->rgb(206,163,25)
+_ctypes.so!_ctypes_callproc->rgb(232,124,19)
+_ctypes.so!ffi_call->rgb(213,179,52)
+_ctypes.so!ffi_call_unix64->rgb(239,136,30)
+libDAQEventLib.so!LHCb::RawEvent::addBank->rgb(241,184,27)
+libDAQEventLib.so!LHCb::RawEvent::adoptBank->rgb(227,179,31)
+libDAQEventLib.so!LHCb::RawEvent::~RawEvent->rgb(208,77,36)
+libFTDAQ.so!FTRawBankDecoder::decode<(unsigned int)4>->rgb(213,39,8)
+libFTDAQ.so!FTRawBankDecoder::operator()->rgb(227,134,54)
+libFTDAQ.so!Gaudi::Functional::Transformer<LHCb::Container::MultiIndexedContainer<LHCb::FTLiteCluster, (unsigned long)48> (LHCb::RawEvent const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(248,98,48)
+libGaudiAlgLib.so!GaudiAlgorithm::sysExecute->rgb(212,122,2)
+libGaudiCommonSvc.so!AlgContextSvc::unSetCurrentAlg->rgb(234,78,36)
+libGaudiCommonSvc.so!PersistencySvc::createObj->rgb(233,186,43)
+libGaudiCommonSvc.so!PersistencySvc::fillObjRefs->rgb(219,191,36)
+libGaudiCommonSvc.so!PersistencySvc::makeCall->rgb(212,23,0)
+libGaudiCoreSvc.so!AlgExecStateSvc::algExecState->rgb(220,108,51)
+libGaudiCoreSvc.so!ApplicationMgr::executeRun->rgb(251,44,22)
+libGaudiCoreSvc.so!EventSelector::next->rgb(223,88,44)
+libGaudiCoreSvc.so!Gaudi::details::LegacyAlgorithmAdapter::execute->rgb(254,215,54)
+libGaudiHive.so!Gaudi::Hive::FetchDataFromFile::execute->rgb(237,186,40)
+libGaudiHive.so!HiveWhiteBoard::clearStore->rgb(213,74,22)
+libGaudiHive.so!HiveWhiteBoard::preLoad->rgb(250,209,14)
+libGaudiHive.so!HiveWhiteBoard::registerObject->rgb(207,4,37)
+libGaudiKernel.so!DataObject::release->rgb(242,36,48)
+libGaudiKernel.so!DataSvc::clearStore->rgb(229,214,13)
+libGaudiKernel.so!DataSvc::i_retrieveEntry->rgb(224,179,5)
+libGaudiKernel.so!DataSvc::loadObject->rgb(213,132,5)
+libGaudiKernel.so!DataSvc::preLoad->rgb(240,127,18)
+libGaudiKernel.so!DataSvc::registerObject->rgb(254,16,41)
+libGaudiKernel.so!DataSvc::retrieveObject->rgb(221,42,47)
+libGaudiKernel.so!DataSvcHelpers::RegistryEntry::deleteElements->rgb(225,194,12)
+libGaudiKernel.so!DataSvcHelpers::RegistryEntry::release->rgb(244,9,38)
+libGaudiKernel.so!DataSvcHelpers::RegistryEntry::~RegistryEntry->rgb(226,171,32)
+libGaudiKernel.so!Gaudi::Algorithm::sysExecute->rgb(242,109,22)
+libGaudiKernel.so!Gaudi::Utils::AlgContext::AlgContext->rgb(254,21,54)
+libGaudiKernel.so!Gaudi::Utils::AlgContext::~AlgContext->rgb(207,136,14)
+libGaudiKernel.so!py_bootstrap_app_run->rgb(205,158,14)
+libGaudiUtils.so!Gaudi::IODataManager::read->rgb(224,37,9)
+libHLTScheduler.so!(anonymous namespace)::Wrapper<HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}>::execute->rgb(241,59,32)
+libHLTScheduler.so!HLTControlFlowMgr::declareEventRootAddress->rgb(213,180,4)
+libHLTScheduler.so!HLTControlFlowMgr::executeEvent->rgb(239,168,26)
+libHLTScheduler.so!HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()->rgb(218,8,26)
+libHLTScheduler.so!HLTControlFlowMgr::executeRun->rgb(230,144,6)
+libHLTScheduler.so!HLTControlFlowMgr::nextEvent->rgb(220,134,51)
+libHLTScheduler.so!HLTControlFlowMgr::promoteToExecuted->rgb(245,118,48)
+libHLTScheduler.so!std::__detail::__variant::__gen_vtable_impl<std::__detail::__variant::_Multi_array<void (*)(overload<HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()(void)::{lambda(BasicNode&)#1}, HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()(void)::{lambda(HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()(void)::{lambda(BasicNode&)#1}&)#2}>&&, std::variant<BasicNode, CompositeNode<(nodeType)0>, CompositeNode<(nodeType)1>, CompositeNode<(nodeType)2>, CompositeNode<(nodeType)3>, CompositeNode<(nodeType)4>>&)>, std::tuple<std::variant<BasicNode, CompositeNode<(nodeType)0>, CompositeNode<(nodeType)1>, CompositeNode<(nodeType)2>, CompositeNode<(nodeType)3>, CompositeNode<(nodeType)4>>&>, std::integer_sequence<unsigned long, (unsigned long)0>>::__visit_invoke->rgb(248,126,7)
+libMDF.so!LHCb::MDFContext::readBuffer->rgb(237,153,44)
+libMDF.so!LHCb::MDFContext::receiveData->rgb(245,77,30)
+libMDFLib.so!(anonymous namespace)::file_read->rgb(238,143,5)
+libMDFLib.so!LHCb::MDFIO::readBanks->rgb(209,218,34)
+libMDFLib.so!LHCb::RawDataCnvSvc::createObj->rgb(217,119,11)
+libMDFLib.so!LHCb::RawDataCnvSvc::fillObjRefs->rgb(235,43,39)
+libMDFLib.so!LHCb::RawDataConnection::read->rgb(232,89,41)
+libMDFLib.so!LHCb::RawDataSelector::next->rgb(250,204,25)
+libMDFLib.so!LHCb::checkRawBank->rgb(223,46,42)
+libMDFLib.so!LHCb::decodeRawBanks->rgb(219,113,45)
+libMDFLib.so!LHCb::unpackTAE->rgb(249,158,27)
+libPatPV.so!(anonymous namespace)::AdaptivePVTrack::AdaptivePVTrack->rgb(218,47,35)
+libPatPV.so!(anonymous namespace)::AdaptivePVTrack::updateCache->rgb(250,37,38)
+libPatPV.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::RecVertex, std::allocator<LHCb::Event::v2::RecVertex>> (std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(251,69,29)
+libPatPV.so!PatPV3DFuture::findClusters->rgb(209,10,49)
+libPatPV.so!PatPV3DFuture::fitVertex->rgb(232,12,27)
+libPatPV.so!PatPV3DFuture::getSeeds->rgb(242,124,8)
+libPatPV.so!PatPV3DFuture::getTukeyWeight->rgb(246,191,54)
+libPatPV.so!PatPV3DFuture::operator()->rgb(250,179,6)
+libPatPV.so!PatPV3DFuture::reconstructMultiPV->rgb(218,110,4)
+libPatPV.so!PatPV3DFuture::reconstructMultiPVFromTracks->rgb(205,108,10)
+libPatPV.so!PatPV3DFuture::removeTracks->rgb(206,3,14)
+libPatPV.so!__gnu_cxx::__ops::_Iter_pred<PatPV3DFuture::removeTracks(std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>>&, std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>> const&) const::{lambda(LHCb::Event::v2::Track const*)#1}>::operator()<__gnu_cxx::__normal_iterator<LHCb::Event::v2::Track const**, std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>>>>->rgb(206,122,0)
+libPatPV.so!std::__introsort_loop<__gnu_cxx::__normal_iterator<vtxCluster**, std::vector<vtxCluster*, std::allocator<vtxCluster*>>>, long, __gnu_cxx::__ops::_Iter_comp_iter<bool (*)(vtxCluster*, vtxCluster*)>>.constprop.1021->rgb(206,37,0)
+libPatPV.so!std::vector<vtxCluster, std::allocator<vtxCluster>>::_M_realloc_insert<vtxCluster const&>->rgb(236,4,29)
+libPrAlgorithms.so!DataObjectHandle<AnyDataWrapper<Pr::Selection<LHCb::Event::v2::Track, unsigned short>>>::put->rgb(237,99,34)
+libPrAlgorithms.so!DataObjectHandle<AnyDataWrapper<UT::HitHandler>>::put->rgb(253,94,4)
+libPrAlgorithms.so!Gaudi::Functional::Transformer<Pr::Selection<LHCb::Event::v2::Track, unsigned short> (std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(247,56,38)
+libPrAlgorithms.so!Gaudi::Functional::Transformer<PrFTHitHandler<PrHit> (LHCb::Container::MultiIndexedContainer<LHCb::FTLiteCluster, (unsigned long)48> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(251,16,30)
+libPrAlgorithms.so!Gaudi::Functional::Transformer<UT::HitHandler (LHCb::RawEvent const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(222,140,3)
+libPrAlgorithms.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> (PrFTHitHandler<PrHit> const&, Pr::Selection<LHCb::Event::v2::Track, unsigned short> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(251,49,24)
+libPrAlgorithms.so!LHCb::Event::v2::Track::Track->rgb(232,75,5)
+libPrAlgorithms.so!PrFTHitHandler<PrHit>::getIterator_lowerBound->rgb(230,26,38)
+libPrAlgorithms.so!PrForwardTrack::distance->rgb(250,136,38)
+libPrAlgorithms.so!PrForwardTracking::addHitsOnEmptyStereoLayers->rgb(252,149,52)
+libPrAlgorithms.so!PrForwardTracking::addHitsOnEmptyXLayers<(PrHitZone::Side)0>->rgb(205,162,51)
+libPrAlgorithms.so!PrForwardTracking::addHitsOnEmptyXLayers<(PrHitZone::Side)1>->rgb(210,198,10)
+libPrAlgorithms.so!PrForwardTracking::collectAllXHits<(PrHitZone::Side)0>->rgb(221,71,21)
+libPrAlgorithms.so!PrForwardTracking::collectAllXHits<(PrHitZone::Side)1>->rgb(246,194,15)
+libPrAlgorithms.so!PrForwardTracking::collectStereoHits->rgb(222,178,44)
+libPrAlgorithms.so!PrForwardTracking::extendTracks->rgb(223,120,3)
+libPrAlgorithms.so!PrForwardTracking::fitXProjection->rgb(208,97,43)
+libPrAlgorithms.so!PrForwardTracking::fitYProjection->rgb(228,40,29)
+libPrAlgorithms.so!PrForwardTracking::makeLHCbTracks->rgb(239,154,10)
+libPrAlgorithms.so!PrForwardTracking::merge6Sorted.constprop.1229->rgb(226,189,38)
+libPrAlgorithms.so!PrForwardTracking::operator()->rgb(236,121,16)
+libPrAlgorithms.so!PrForwardTracking::selectFullCandidates->rgb(218,190,46)
+libPrAlgorithms.so!PrForwardTracking::selectStereoHits->rgb(248,109,30)
+libPrAlgorithms.so!PrForwardTracking::selectXCandidates<(PrHitZone::Side)0>.constprop.1237->rgb(223,4,30)
+libPrAlgorithms.so!PrForwardTracking::selectXCandidates<(PrHitZone::Side)1>.constprop.1236->rgb(250,214,0)
+libPrAlgorithms.so!PrForwardTracking::xAtRef_SamePlaneHits.constprop.1228->rgb(233,206,40)
+libPrAlgorithms.so!PrStoreFTHit::operator()->rgb(216,216,27)
+libPrAlgorithms.so!PrStoreUTHit::decodeBanks->rgb(235,32,37)
+libPrAlgorithms.so!PrStoreUTHit::operator()->rgb(244,28,32)
+libPrAlgorithms.so!ReadMLP_Forward1stLoop::GetMvaValue->rgb(245,205,49)
+libPrAlgorithms.so!SiRawBankDecoder<SiClusterWord<UTBitsPolicy>>::SiRawBankDecoder->rgb(206,228,11)
+libPrAlgorithms.so!std::__inplace_merge<__gnu_cxx::__normal_iterator<ModPrHit*, std::vector<ModPrHit, std::allocator<ModPrHit>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1230->rgb(251,217,18)
+libPrAlgorithms.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::LHCbID*, std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1264->rgb(249,53,16)
+libPrAlgorithms.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::TrackHit*, std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>>, __gnu_cxx::__ops::_Iter_comp_iter<PrForwardTracking::makeLHCbTracks(std::vector<PrForwardTrack, std::allocator<PrForwardTrack>> const&, std::vector<std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>, std::allocator<std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>>>) const::{lambda(__gnu_cxx::__normal_iterator<LHCb::TrackHit*, std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>> const&std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>> const&)#1}>>.isra.893->rgb(229,109,9)
+libPrAlgorithms.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<ModPrHit*, std::vector<ModPrHit, std::allocator<ModPrHit>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1248->rgb(240,187,5)
+libPrAlgorithms.so!std::__merge_adaptive<__gnu_cxx::__normal_iterator<ModPrHit*, std::vector<ModPrHit, std::allocator<ModPrHit>>>, long, ModPrHit*, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1232->rgb(249,170,21)
+libPrAlgorithms.so!std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>>::_M_realloc_insert<LHCb::Event::v2::Track const*>->rgb(249,76,2)
+libPrAlgorithms.so!std::vector<ModPrHit, std::allocator<ModPrHit>>::_M_realloc_insert<ModPrHit const&>->rgb(250,36,34)
+libPrAlgorithms.so!std::vector<ModPrHit, std::allocator<ModPrHit>>::emplace_back<PrHit const*, float, int, int>->rgb(253,73,8)
+libPrAlgorithms.so!std::vector<PrHit const*, std::allocator<PrHit const*>>::_M_realloc_insert<PrHit const* const&>->rgb(242,97,10)
+libPrAlgorithms.so!std::vector<PrHit const*, std::allocator<PrHit const*>>::reserve.constprop.1249->rgb(205,148,47)
+libPrPixel.so!AnyDataWrapper<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>>>::~AnyDataWrapper->rgb(210,131,44)
+libPrPixel.so!AnyDataWrapper<std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>::~AnyDataWrapper->rgb(211,175,35)
+libPrPixel.so!DataObjectHandle<AnyDataWrapper<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>>>>::put->rgb(252,228,24)
+libPrPixel.so!DataObjectHandle<AnyDataWrapper<std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>>::put->rgb(240,10,41)
+libPrPixel.so!Gaudi::Functional::MultiTransformer<std::tuple<std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>, std::array<unsigned int, (unsigned long)53>> (LHCb::RawEvent const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(235,159,45)
+libPrPixel.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> (std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>> const&, std::array<unsigned int, (unsigned long)53> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(252,9,49)
+libPrPixel.so!LHCb::State::State->rgb(205,137,28)
+libPrPixel.so!PrPixelTrack::chi2PerDoF->rgb(248,4,39)
+libPrPixel.so!PrPixelTrack::covariance->rgb(254,45,50)
+libPrPixel.so!PrPixelTrack::fill->rgb(250,30,46)
+libPrPixel.so!PrPixelTrack::fit->rgb(235,112,51)
+libPrPixel.so!PrPixelTrack::fitKalman->rgb(235,117,54)
+libPrPixel.so!PrPixelTracking::MakeFitterHit->rgb(207,19,18)
+libPrPixel.so!PrPixelTracking::bestHit<(AddHitMode)1>.constprop.1019->rgb(230,99,19)
+libPrPixel.so!PrPixelTracking::bestHit<(AddHitMode)2>->rgb(210,147,17)
+libPrPixel.so!PrPixelTracking::doPairSearch<(SearchDirection)1>->rgb(212,67,11)
+libPrPixel.so!PrPixelTracking::doPairSearch<(SearchDirection)2>->rgb(239,75,53)
+libPrPixel.so!PrPixelTracking::extendTrack<(SearchDirection)1>->rgb(229,61,9)
+libPrPixel.so!PrPixelTracking::extendTrack<(SearchDirection)2>->rgb(245,119,35)
+libPrPixel.so!PrPixelTracking::getPhi->rgb(224,160,9)
+libPrPixel.so!PrPixelTracking::makeLHCbTracks<(SearchDirection)1>->rgb(216,37,20)
+libPrPixel.so!PrPixelTracking::makeLHCbTracks<(SearchDirection)2>->rgb(254,198,17)
+libPrPixel.so!PrPixelTracking::operator()->rgb(209,44,0)
+libPrPixel.so!PrPixelTracking::searchByPair->rgb(215,45,7)
+libPrPixel.so!VSPClus::operator()->rgb(251,102,42)
+libPrPixel.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#1}>>.isra.570->rgb(216,167,4)
+libPrPixel.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#2}>>.isra.574->rgb(220,200,43)
+libPrPixel.so!std::__introsort_loop<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, long, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#1}>>->rgb(254,149,5)
+libPrPixel.so!std::__introsort_loop<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, long, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#2}>>->rgb(235,205,3)
+libPrPixel.so!std::__lower_bound<gsl::details::span_iterator<gsl::span<float const, (long)-1>, (bool)0>, float, __gnu_cxx::__ops::_Iter_less_val>.constprop.1021->rgb(240,226,10)
+libPrPixel.so!std::__upper_bound<gsl::details::span_iterator<gsl::span<float const, (long)-1>, (bool)0>, float, __gnu_cxx::__ops::_Val_less_iter>.constprop.1018->rgb(227,186,41)
+libPrPixel.so!std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>::reserve->rgb(243,2,4)
+libPrPixel.so!std::vector<LHCb::State, std::allocator<LHCb::State>>::reserve->rgb(246,141,42)
+libPrPixel.so!std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>::emplace_back<LHCb::TrackHit>->rgb(224,26,41)
+libPrPixel.so!std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>::reserve->rgb(219,181,3)
+libPrPixel.so!std::vector<unsigned int, std::allocator<unsigned int>>::push_back->rgb(246,215,44)
+libPrVeloUT.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> (Pr::Selection<LHCb::Event::v2::Track, unsigned short> const&, UT::HitHandler const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(241,50,3)
+libPrVeloUT.so!PrVeloUT::formClusters->rgb(253,13,29)
+libPrVeloUT.so!PrVeloUT::getHits<PrTableForFunction<(int)3, (int)30>>->rgb(235,7,38)
+libPrVeloUT.so!PrVeloUT::operator()->rgb(222,4,48)
+libPrVeloUT.so!PrVeloUT::prepareOutputTrack<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>>, PrTableForFunction<(int)30, (int)10, (int)10>>->rgb(225,138,25)
+libRecEvent.so!LHCb::State::State->rgb(229,67,12)
+libTrackEvent.so!LHCb::Event::v2::Track::addToLhcbIDs->rgb(230,41,12)
+libTrackEvent.so!LHCb::Event::v2::Track::addToLhcbIDs<LHCb::Tag::Sorted_tag, void>->rgb(212,71,35)
+libTrackEvent.so!LHCb::Event::v2::Track::addToStates->rgb(248,203,10)
+libTrackEvent.so!LHCb::State::linearTransportTo->rgb(241,163,28)
+libTrackEvent.so!std::__inplace_merge<__gnu_cxx::__normal_iterator<LHCb::LHCbID*, std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.318->rgb(253,93,5)
+libTrackEvent.so!std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>::_M_range_insert<gsl::details::span_iterator<gsl::span<LHCb::LHCbID const, (long)-1>, (bool)0>>.constprop.316->rgb(227,136,43)
+libTrackEvent.so!std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>::_M_realloc_insert<LHCb::LHCbID const&>->rgb(226,57,10)
+libUTDAQ.so!UTReadoutTool::findByBoardID->rgb(246,16,12)
+libUTDAQLib.so!LHCb::UTDAQ::findSectors->rgb(225,58,42)
+libUTDetLib.so!DeUTDetector::getSector->rgb(206,113,18)
+libUTKernelLib.so!UTTell1Board::DAQToOfflineFull->rgb(222,207,1)
+libc.so.6!__clone->rgb(243,32,30)
+libc.so.6!__libc_start_main->rgb(237,5,4)
+libc.so.6!__memcpy_ssse3_back->rgb(235,7,54)
+libc.so.6!_int_free->rgb(214,74,6)
+libc.so.6!free->rgb(231,63,9)
+libm.so.6!round->rgb(225,192,9)
+libpthread.so.0!__read->rgb(206,144,1)
+libpthread.so.0!start_thread->rgb(208,72,52)
+libpython2.7.so.1.0!PyEval_EvalCode->rgb(253,17,14)
+libpython2.7.so.1.0!PyEval_EvalCodeEx->rgb(220,219,49)
+libpython2.7.so.1.0!PyEval_EvalFrameEx->rgb(220,20,23)
+libpython2.7.so.1.0!PyObject_Call->rgb(208,196,0)
+libpython2.7.so.1.0!PyRun_FileExFlags->rgb(239,211,31)
+libpython2.7.so.1.0!PyRun_SimpleFileExFlags->rgb(220,100,31)
+libpython2.7.so.1.0!Py_Main->rgb(250,8,33)
+libpython2.7.so.1.0!call_function->rgb(243,108,52)
+libpython2.7.so.1.0!do_call->rgb(210,150,11)
+libpython2.7.so.1.0!fast_function->rgb(237,18,2)
+libpython2.7.so.1.0!run_mod->rgb(205,57,0)
+libstdc++.so.6!operator new->rgb(228,57,0)
+libstdc++.so.6!std::condition_variable::notify_all->rgb(228,136,37)
+libtbb.so.2![TBB Dispatch Loop]->rgb(231,129,39)
+libtbb.so.2![TBB worker]->rgb(217,17,31)
+libtbb.so.2!tbb::internal::rml::private_worker::run->rgb(254,65,47)
+python2.7!_start->rgb(215,21,29)
-- 
GitLab


From 72440c7a6339f064e91b85c7eb22c0833786425f Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Fri, 14 Jun 2019 14:20:37 +0000
Subject: [PATCH 48/96] HLT2 Throughput test with old configuration

---
 RunHlt2ThroughputJobs.py   | 204 +++++++++++++++++++++++++++++++++++++
 SetupHlt2ThroughputOpts.py |  26 +++++
 doHlt2profile.sh           |  16 +++
 runHlt2Profile.sh          |   8 ++
 4 files changed, 254 insertions(+)
 create mode 100755 RunHlt2ThroughputJobs.py
 create mode 100644 SetupHlt2ThroughputOpts.py
 create mode 100755 doHlt2profile.sh
 create mode 100755 runHlt2Profile.sh

diff --git a/RunHlt2ThroughputJobs.py b/RunHlt2ThroughputJobs.py
new file mode 100755
index 00000000..3fa5a4e3
--- /dev/null
+++ b/RunHlt2ThroughputJobs.py
@@ -0,0 +1,204 @@
+#!/usr/bin/env python
+"""Runs a single job as configured via specified options file which is passed to SetupThroughputOpts.py """
+
+import re
+import os
+import sys
+import argparse
+import subprocess
+import csv
+
+
+def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
+    '''Run a test with the given options'''
+
+    # open log file
+    outputFile = open("{}.log".format(OutputFileName), 'w+')
+
+    # build command line
+    cmdLine = ["gaudirun.py", str(os.path.dirname(os.path.realpath(__file__))) + "/SetupHlt2ThroughputOpts.py"]
+
+    # deal with numa if needed
+    if nbNumaNodes > 1:
+        node = jobidx % nbNumaNodes
+        cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
+
+    # run the test
+    print("Launching job with cmdLine: {}".format(cmdLine))
+    process = subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT, env=modifiedEnv)
+
+    if doprofile:
+     cmdLine = [str(os.path.dirname(os.path.realpath(__file__)))+"/doHlt2profile.sh" , str(process.pid), modifiedEnv['TAG']]
+     if nbNumaNodes > 1:
+       node = (jobidx % nbNumaNodes) + 1
+       cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
+     profprocess = subprocess.Popen(cmdLine)
+
+
+    return process, outputFile
+
+def getTrhoughputs(idx, tag, njobs, nevents, algs, throughputs_per_job):
+  throughputs_per_event_and_job = {}
+  for alg in algs:
+    throughputs_per_event_and_job[alg] = []
+  #hack here: the actual filename is specified in the runtime options called by SetupThroughputOpts
+  with open('./time/Timeline_{:s}.{:s}.{:d}j.{:d}e.{:d}.csv'.format(tag,os.environ['CMTCONFIG'], njobs, nevents, idx)) as ofile :
+    reader = csv.reader(ofile, delimiter=' ')
+    next(reader)
+    for l in reader:
+      if l[2] not in algs : continue
+      if int(l[5]) > 20: ## HARCODED (let 20 events run before calculating the throughput)
+        throughputs_per_event_and_job[l[2]].append(1.e-9*(int(l[1]) - int(l[0]))) ## TimelineSvc output is in nanoseconds
+    ofile.close()
+
+  for alg in algs:
+    try:
+      throughputs_per_job[alg].append(len(throughputs_per_event_and_job[alg])/sum(throughputs_per_event_and_job[alg]))
+    except:
+      print("{0} not in input algorithms. check your options".format(alg))
+  return
+
+
+def main():
+  '''Main method : parses options and calls runJob which configures and runs a single Brunel job'''
+
+  parser = argparse.ArgumentParser(description=__doc__)
+
+  parser.add_argument('-j', '--jobs', type=int, required=True,
+                      help='nb of jobs to launch')
+
+  parser.add_argument('-t', '--threads', type=int, required=True,
+                      help='nb of threads per job')
+
+  parser.add_argument('-e', '--evtSlots', type=int, default=-1,
+                      help='nb of event slots per job (default: nb of threads per job + 10%%)')
+
+  parser.add_argument('-n', '--events', default=1000, type=int,
+                      help='nb of events to process per thread (default: 1000)')
+
+  parser.add_argument('--outfileTag', type=str, default='',
+                      help="Output file name tag, name will be 'ThroughputTest_TAG_...' .(default: '')")
+
+  parser.add_argument('OptsFileName', type=str,
+                      help='Option file name which defines the reconstruction sequence to run.')
+
+  parser.add_argument('TestFileDBKey', type=str,
+                      help='TestFileDB key name which defines input files and tags.')
+
+  parser.add_argument('--FTDecoVersion', default=4, type=int,
+                      help='SciFi Decoding Version must match used input files (default: 4)')
+
+  parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="",
+                      help='Names of input files, multiple names possible')
+
+  parser.add_argument('-a','--algorithms', type=str, nargs='+', default=["Reco"],
+                      help='Names of algorithms to measure throughputs. A throughput rate is calulated for the first in the list, all others are measured relative to that')
+
+  parser.add_argument('--nonuma', action='store_true',
+                      help='whether to disable usage of numa domains.')
+
+  parser.add_argument('--profile', action='store_true',
+                      help='whether to enable vtune profiling - only supported for single job.')
+
+  parser.add_argument('--forcerun', action='store_true',
+                      help='force running jobs, even if output files already exist')
+
+  args = parser.parse_args()
+  if args.evtSlots == -1:
+      args.evtSlots = 1+int(11*args.threads/10)
+
+  if args.profile and args.jobs >1:
+      raise RuntimeError("VTune Profile only supported for single job")
+
+  try:
+      with open(os.devnull, 'w') as FNULL:
+          subprocess.check_call(['amplxe-cl', '--help'], stdout=FNULL )
+  except:
+      if args.profile:
+          raise RuntimeError("can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
+      else:
+          print("Warning: can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
+
+  try:
+      with open(os.devnull, 'w') as FNULL:
+          subprocess.check_call(['gaudirun.py', '--help'], stdout=FNULL )
+  except:
+      raise RuntimeError("can't execute gaudirun.py, please make sure that you are in a Brunel environment")
+
+  # deal with numa config
+  nbNumaNodes = 1
+  if not args.nonuma:
+      try:
+          output = subprocess.check_output(["numactl", "-show"])
+          nodeline = [line for line in output.split('\n') if line.startswith('nodebind')][0]
+          nbNumaNodes = len(nodeline.split()) - 1
+          if(nbNumaNodes != args.jobs) and not args.profile:
+              print("Warning: There are {} available numa nodes but you are launching {} jobs".format(nbNumaNodes, args.jobs))
+      except:
+          # numactl not existing
+          print 'Warning : -- numactl not found, running without setting numa nodes --'
+
+
+  # check how many threads the cpu actually has
+  cputhreads = int(subprocess.check_output(["lscpu", "-e=CPU"]).split('\n')[-2]) + 1
+
+  # check total number of threads
+  if args.jobs*args.threads > cputhreads:
+      print("CPU seems to only have {} threads but you specified {} jobs with {} threads each. This will overcommit the CPU, do you know what you are doing?".format(cputhreads, args.jobs, args.threads))
+
+  myenv = os.environ.copy()
+  myenv['NUMEVTS'] = str(args.events)
+  myenv['NUMTHREADS'] = str(args.jobs)
+  myenv['TESTDBKEY']  = args.TestFileDBKey
+  myenv['FTDECOVER']  = str(args.FTDecoVersion)
+  myenv['FILE']  = ",".join(args.inputFileNames)
+  myenv['OPTSFILE'] = args.OptsFileName
+  myenv['TAG'] = args.outfileTag
+
+  runningJobs=[]
+
+  skipjobs = False
+  for job in range(args.jobs):
+      myenv['NUMEVTSLOTS'] = str(job)
+      if not os.path.exists("./logs"):
+        os.mkdir("./logs")
+      if not os.path.exists("./time"):
+        os.mkdir("./time")
+      outputFileName = './logs/ThroughputTest_{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(args.outfileTag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
+      timeFileName = './time/Timeline_{:s}.{:s}.{:d}j.{:d}e.{:d}.csv'.format(args.outfileTag,os.environ['CMTCONFIG'], args.jobs, args.events, job)
+      if os.path.isfile(timeFileName) and not args.forcerun :
+        if job == 0:
+          print('Output files of this job already exist. Run with --forcerun to re-run job')
+          skipjobs = True
+      else :
+        runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
+
+  # the following lines are for calculating the throughput in the old configuration framework
+  if not args.profile: #skip calculation when doing a profile
+    throughputs = {}
+    for alg in args.algorithms:
+      throughputs[alg] = []
+    if skipjobs:
+      for idx in range(args.jobs):
+        getTrhoughputs(idx,args.outfileTag,args.jobs,args.events,args.algorithms,throughputs)
+    else:
+      for idx, (job,dummyofn) in enumerate(runningJobs):
+        retcode = job.wait()
+        if retcode != 0 :
+            print("WARNING: non-zero return code from job {}".format(idx))
+        getTrhoughputs(idx,args.outfileTag,args.jobs,args.events,args.algorithms,throughputs)
+
+    #print table calculating how many percent each algorithm is taking up
+    sum_main_tp = sum(throughputs[args.algorithms[0]])
+    average_main_tp = sum_main_tp/len(throughputs[args.algorithms[0]])
+    #The following line will be picked up by the ThroughputProfileHandler
+    print("Throughput test is finished. Combined throughput for {0}: Evts/s = {1:5.2f} ( {2:5.2f} per node )".format(args.algorithms[0],sum_main_tp,average_main_tp))
+    for k, v in throughputs.iteritems():
+      if k == args.algorithms[0] : continue
+      try:
+        print("Relative consumption of {0:<24} w.r.t. {1} is {2:5.2f} %".format(k,args.algorithms[0], 100*average_main_tp/(sum(v)/len(v))))
+      except:
+        print("{0} not in input algorithms. check your options".format(k))
+
+if __name__ == '__main__':
+    sys.exit(main())
diff --git a/SetupHlt2ThroughputOpts.py b/SetupHlt2ThroughputOpts.py
new file mode 100644
index 00000000..e7bae6e6
--- /dev/null
+++ b/SetupHlt2ThroughputOpts.py
@@ -0,0 +1,26 @@
+import os, importlib, glob
+from Gaudi.Configuration import importOptions
+
+num_events     = int(os.environ['NUMEVTS'])
+num_eventslots = int(os.environ['NUMEVTSLOTS'])
+num_threads    = int(os.environ['NUMTHREADS'])
+testDBKey      = str(os.environ['TESTDBKEY'])
+FTDecoVer      = int(os.environ['FTDECOVER'])
+filepath       = glob.glob(os.environ['FILE'])
+optsfile       = str(os.environ['OPTSFILE'])
+
+if '/' not in optsfile:
+  opts = importlib.import_module(optsfile)
+else:
+  import sys
+  mymodule = optsfile.rsplit('/',1)
+  sys.path.insert(0,mymodule[0])
+  opts=importlib.import_module(mymodule[1])
+
+# fix for empty list coming from the env variables
+if filepath == ['']:
+    filepath = []
+
+print("###SETUPTHROUGHPUTOPTS###\nImporting {} and executing with numevents:{}, eventslots:{}, threads:{} , using TestFileDBKey {}, SciFi decoding version {}, and set files to: {}".format(optsfile,num_events,num_eventslots, num_threads, testDBKey, FTDecoVer, filepath))
+
+opts.runTest(testDBKey, num_eventslots, num_threads, num_events, FTDecoVer, filepath)
diff --git a/doHlt2profile.sh b/doHlt2profile.sh
new file mode 100755
index 00000000..e09401b8
--- /dev/null
+++ b/doHlt2profile.sh
@@ -0,0 +1,16 @@
+#! /usr/bin/bash
+
+set -euo pipefail
+
+echo "yeah yeah yeah yeah such profile much wow! "
+sleep 10
+amplxe-cl -collect hotspots -d 60 -target-pid=${1} -r profile_out > /dev/null
+
+amplxe-cl -R top-down -column="CPU Time:Self","Module" -report-out result.csv -format csv -csv-delimiter comma -r profile_out
+sed -i '1d' result.csv > /dev/null
+
+dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
+echo $dir
+$dir/stackcollapse-vtune.pl result.csv | $dir/flamegraph.pl --cp --title "Hlt2 Flame Graph" --minwidth 2 --width 1600 > flamy.svg
+
+echo "Done"
diff --git a/runHlt2Profile.sh b/runHlt2Profile.sh
new file mode 100755
index 00000000..ef37c93d
--- /dev/null
+++ b/runHlt2Profile.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+
+./cleanup.sh
+
+python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 50 --FTDecoVersion 2 -t 1 --profile $1 UpgradeHLT1FilteredMinbias -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf
+
+python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 100 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq --nonuma -f /scratch/z5/data/Hlt2Throughput/*mdf -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
+
-- 
GitLab


From 18d3f6a3a35b07a3964f2c687eb0b40d60d078a6 Mon Sep 17 00:00:00 2001
From: Sebastien Ponce <sebastien.ponce@cern.ch>
Date: Wed, 19 Jun 2019 08:32:31 +0200
Subject: [PATCH 49/96] Fixed argument passing when calling runTest in
 SetupThroughputTest

---
 SetupThroughputOpts.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/SetupThroughputOpts.py b/SetupThroughputOpts.py
index e199c0b1..7bc08f75 100644
--- a/SetupThroughputOpts.py
+++ b/SetupThroughputOpts.py
@@ -17,4 +17,4 @@ if filepath == ['']:
 
 print("###SETUPTHROUGHPUTOPTS###\nImporting {} and executing with numevents:{}, eventslots:{}, threads:{} , using TestFileDBKey {}, SciFi decoding version {}, and set files to: {}".format(optsfile,num_events,num_eventslots, num_threads, testDBKey, FTDecoVer, filepath))
 
-opts.runTest(testDBKey, num_eventslots, num_threads, num_events, FTDecoVer, filepath)
+opts.runTest(testDBKey, nbEventSlots=num_eventslots, threadPoolSize=num_threads, evtMax=num_events, FTDecoVersion=FTDecoVer, filepaths=filepath)
-- 
GitLab


From 84840a73ad82c10fcd2ff3a34f299374cdafee5d Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Wed, 19 Jun 2019 08:50:34 +0000
Subject: [PATCH 50/96] Hlt2 throughput: fix location of Brunel opts file for
 PR tests. Run on more events, longer sleep and profiling times, minor changes

---
 RunHlt2ThroughputJobs.py   | 9 +++++----
 SetupHlt2ThroughputOpts.py | 6 +++---
 doHlt2profile.sh           | 4 ++--
 runHlt2Profile.sh          | 5 ++---
 4 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/RunHlt2ThroughputJobs.py b/RunHlt2ThroughputJobs.py
index 3fa5a4e3..1105814b 100755
--- a/RunHlt2ThroughputJobs.py
+++ b/RunHlt2ThroughputJobs.py
@@ -160,10 +160,6 @@ def main():
   skipjobs = False
   for job in range(args.jobs):
       myenv['NUMEVTSLOTS'] = str(job)
-      if not os.path.exists("./logs"):
-        os.mkdir("./logs")
-      if not os.path.exists("./time"):
-        os.mkdir("./time")
       outputFileName = './logs/ThroughputTest_{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(args.outfileTag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
       timeFileName = './time/Timeline_{:s}.{:s}.{:d}j.{:d}e.{:d}.csv'.format(args.outfileTag,os.environ['CMTCONFIG'], args.jobs, args.events, job)
       if os.path.isfile(timeFileName) and not args.forcerun :
@@ -171,6 +167,11 @@ def main():
           print('Output files of this job already exist. Run with --forcerun to re-run job')
           skipjobs = True
       else :
+        if job == 0:
+          if not os.path.exists("./logs"):
+            os.mkdir("./logs")
+          if not os.path.exists("./time"):
+            os.mkdir("./time")
         runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
 
   # the following lines are for calculating the throughput in the old configuration framework
diff --git a/SetupHlt2ThroughputOpts.py b/SetupHlt2ThroughputOpts.py
index e7bae6e6..b27e0a9c 100644
--- a/SetupHlt2ThroughputOpts.py
+++ b/SetupHlt2ThroughputOpts.py
@@ -9,9 +9,9 @@ FTDecoVer      = int(os.environ['FTDECOVER'])
 filepath       = glob.glob(os.environ['FILE'])
 optsfile       = str(os.environ['OPTSFILE'])
 
-if '/' not in optsfile:
-  opts = importlib.import_module(optsfile)
-else:
+if '/' not in optsfile: #try to get it from environment
+  opts = importlib.import_module("upgrade_options.{}".format(optsfile))
+else: #for quick local tests
   import sys
   mymodule = optsfile.rsplit('/',1)
   sys.path.insert(0,mymodule[0])
diff --git a/doHlt2profile.sh b/doHlt2profile.sh
index e09401b8..48402941 100755
--- a/doHlt2profile.sh
+++ b/doHlt2profile.sh
@@ -3,8 +3,8 @@
 set -euo pipefail
 
 echo "yeah yeah yeah yeah such profile much wow! "
-sleep 10
-amplxe-cl -collect hotspots -d 60 -target-pid=${1} -r profile_out > /dev/null
+sleep 100
+amplxe-cl -collect hotspots -d 180 -target-pid=${1} -r profile_out > /dev/null
 
 amplxe-cl -R top-down -column="CPU Time:Self","Module" -report-out result.csv -format csv -csv-delimiter comma -r profile_out
 sed -i '1d' result.csv > /dev/null
diff --git a/runHlt2Profile.sh b/runHlt2Profile.sh
index ef37c93d..2fc004f3 100755
--- a/runHlt2Profile.sh
+++ b/runHlt2Profile.sh
@@ -2,7 +2,6 @@
 
 ./cleanup.sh
 
-python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 50 --FTDecoVersion 2 -t 1 --profile $1 UpgradeHLT1FilteredMinbias -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf
-
-python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 100 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq --nonuma -f /scratch/z5/data/Hlt2Throughput/*mdf -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
+python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 1000 --FTDecoVersion 2 -t 1 -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf --forcerun --profile $1 UpgradeHLT1FilteredMinbias
 
+python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 1000 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq -f /scratch/z5/data/Hlt2Throughput/*mdf --nonuma --forcerun -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
-- 
GitLab


From 6f20307a2f256159fe505832b177a5a2dafb2495 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 20 Jun 2019 06:55:04 +0000
Subject: [PATCH 51/96] fix dangling profile jobs

---
 RunHlt2ThroughputJobs.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/RunHlt2ThroughputJobs.py b/RunHlt2ThroughputJobs.py
index 1105814b..611f0cc0 100755
--- a/RunHlt2ThroughputJobs.py
+++ b/RunHlt2ThroughputJobs.py
@@ -33,8 +33,6 @@ def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
        node = (jobidx % nbNumaNodes) + 1
        cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
      profprocess = subprocess.Popen(cmdLine)
-
-
     return process, outputFile
 
 def getTrhoughputs(idx, tag, njobs, nevents, algs, throughputs_per_job):
@@ -200,6 +198,8 @@ def main():
         print("Relative consumption of {0:<24} w.r.t. {1} is {2:5.2f} %".format(k,args.algorithms[0], 100*average_main_tp/(sum(v)/len(v))))
       except:
         print("{0} not in input algorithms. check your options".format(k))
+  else: # a profile job
+    return runningJobs[0][0].wait()
 
 if __name__ == '__main__':
     sys.exit(main())
-- 
GitLab


From 0deddf98b796e03b21ba9cf34ba2f16e4b9cd020 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 20 Jun 2019 16:06:57 +0000
Subject: [PATCH 52/96] get number of threads and event slots from lscpu

---
 runProfile.sh | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/runProfile.sh b/runProfile.sh
index e92fd7e5..da15cd42 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -2,7 +2,17 @@
 
 ./cleanup.sh
 
-python RunThroughputJobs.py --outfileTag Profile -e 24 -t 20 -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+cores_per_socket=`lscpu | grep "^Core(s) per socket:"| cut -d: -f2 | tr -d '[:space:]'`
+sockets=`lscpu | grep "^Socket(s):" | cut -d: -f2 | tr -d '[:space:]'`
+threads=$(( ${cores_per_socket}*${sockets} ))
+event_slots=$(( ${threads}*6/5 ))
 
-python RunThroughputJobs.py --outfileTag MaxThrough -e 24 -t 20 -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+echo "Number of cores per socket: ${cores_per_socket}"
+echo "Number of sockets: ${sockets}"
+echo "Number of threads: ${threads}"
+echo "Number of event slots: ${event_slots}"
+
+python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+
+python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
 
-- 
GitLab


From 5bdcbef8fc67c3cabc4ff3c30c5314ee8d6360be Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 20 Jun 2019 16:16:43 +0000
Subject: [PATCH 53/96] use loop instead of repeating the same name

---
 runProfile.sh | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/runProfile.sh b/runProfile.sh
index da15cd42..a5aa830e 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -12,7 +12,6 @@ echo "Number of sockets: ${sockets}"
 echo "Number of threads: ${threads}"
 echo "Number of event slots: ${event_slots}"
 
-python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
-
-python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
+python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo /scratch/lhcbpr2/00067189.mdf; done`
 
+python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo /scratch/lhcbpr2/00067189.mdf; done`
-- 
GitLab


From f8215df00aa0f63f07d7d4ad44c6e77b95c8059d Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 20 Jun 2019 16:20:10 +0000
Subject: [PATCH 54/96] use variable for the input file name

---
 runProfile.sh | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/runProfile.sh b/runProfile.sh
index a5aa830e..f9bc2280 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -2,6 +2,9 @@
 
 ./cleanup.sh
 
+# it's assummed that the file below exists on the machine where the test is running
+input_file="/scratch/lhcbpr2/00067189.mdf"
+
 cores_per_socket=`lscpu | grep "^Core(s) per socket:"| cut -d: -f2 | tr -d '[:space:]'`
 sockets=`lscpu | grep "^Socket(s):" | cut -d: -f2 | tr -d '[:space:]'`
 threads=$(( ${cores_per_socket}*${sockets} ))
@@ -12,6 +15,6 @@ echo "Number of sockets: ${sockets}"
 echo "Number of threads: ${threads}"
 echo "Number of event slots: ${event_slots}"
 
-python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo /scratch/lhcbpr2/00067189.mdf; done`
+python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
 
-python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo /scratch/lhcbpr2/00067189.mdf; done`
+python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
-- 
GitLab


From 6c5992e13fd7d32a315db048790a8511e2222626 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 20 Jun 2019 16:29:17 +0000
Subject: [PATCH 55/96] fix calculation of number of threads

---
 runProfile.sh | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/runProfile.sh b/runProfile.sh
index f9bc2280..a9054289 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -7,11 +7,12 @@ input_file="/scratch/lhcbpr2/00067189.mdf"
 
 cores_per_socket=`lscpu | grep "^Core(s) per socket:"| cut -d: -f2 | tr -d '[:space:]'`
 sockets=`lscpu | grep "^Socket(s):" | cut -d: -f2 | tr -d '[:space:]'`
-threads=$(( ${cores_per_socket}*${sockets} ))
+numa_nodes=`lscpu | grep "^NUMA node(s):" | cut -d: -f2 | tr -d '[:space:]'`
+threads_per_core=`lscpu | grep "^Thread(s) per core:" | cut -d: -f2 | tr -d '[:space:]'`
+sockets_per_numa=$(( ${sockets}/${numa_nodes} ))
+threads=$(( ${cores_per_socket}*${threads_per_core}*${sockets_per_numa} ))
 event_slots=$(( ${threads}*6/5 ))
 
-echo "Number of cores per socket: ${cores_per_socket}"
-echo "Number of sockets: ${sockets}"
 echo "Number of threads: ${threads}"
 echo "Number of event slots: ${event_slots}"
 
-- 
GitLab


From cb89a9aad279450af6f2dd93a88e2715e41d9329 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Andr=C3=A9=20G=C3=BCnther?= <p.gunther@cern.ch>
Date: Tue, 16 Jul 2019 15:52:02 +0200
Subject: [PATCH 56/96] fix problem with globbing whithout wildcards

---
 SetupHlt2ThroughputOpts.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/SetupHlt2ThroughputOpts.py b/SetupHlt2ThroughputOpts.py
index b27e0a9c..c0eed97f 100644
--- a/SetupHlt2ThroughputOpts.py
+++ b/SetupHlt2ThroughputOpts.py
@@ -6,7 +6,10 @@ num_eventslots = int(os.environ['NUMEVTSLOTS'])
 num_threads    = int(os.environ['NUMTHREADS'])
 testDBKey      = str(os.environ['TESTDBKEY'])
 FTDecoVer      = int(os.environ['FTDECOVER'])
-filepath       = glob.glob(os.environ['FILE'])
+if '*' in os.environ['FILE']: # glob if there is wildcard
+	filepath   = glob.glob(os.environ['FILE'])
+else:
+	filepath   = os.environ['FILE'].split(',')
 optsfile       = str(os.environ['OPTSFILE'])
 
 if '/' not in optsfile: #try to get it from environment
-- 
GitLab


From 1c3c12470e5c0a76635b662747f5470f3a13287c Mon Sep 17 00:00:00 2001
From: Arthur Marius Hennequin <arthur.hennequin@cern.ch>
Date: Thu, 22 Aug 2019 16:07:45 +0000
Subject: [PATCH 57/96] Modify RunThroughputJobs.py to select a file based on
 the numa domain

---
 RunThroughputJobs.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/RunThroughputJobs.py b/RunThroughputJobs.py
index 440b8924..8e6bf18c 100755
--- a/RunThroughputJobs.py
+++ b/RunThroughputJobs.py
@@ -7,6 +7,8 @@ import sys
 import argparse
 import subprocess
 
+# We specify a prefix path for the ramfs associated with the index numa domain
+numa_prefix_path = ["/scratch/lhcbpr2", "/scratch/numa1"]
 
 def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
     '''Run a test with the given options'''
@@ -21,6 +23,7 @@ def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
     if nbNumaNodes > 1:
         node = jobidx % nbNumaNodes
         cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
+        modifiedEnv['FILE'] = modifiedEnv['FILE'].replace("/scratch/lhcbpr2", numa_prefix_path[node])
 
     # run the test
     print("Launching job with cmdLine: {}".format(cmdLine))
-- 
GitLab


From 004618ec1ebdc224ed10a28d0d330a598c765197 Mon Sep 17 00:00:00 2001
From: Sascha Stahl <sascha.stahl@cern.ch>
Date: Mon, 26 Aug 2019 15:08:46 +0000
Subject: [PATCH 58/96] Update runHlt2Profile.sh

---
 runHlt2Profile.sh | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/runHlt2Profile.sh b/runHlt2Profile.sh
index 2fc004f3..e91b4173 100755
--- a/runHlt2Profile.sh
+++ b/runHlt2Profile.sh
@@ -2,6 +2,8 @@
 
 ./cleanup.sh
 
+python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 1000 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq -f /scratch/z5/data/Hlt2Throughput/*mdf --nonuma --forcerun -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
+
 python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 1000 --FTDecoVersion 2 -t 1 -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf --forcerun --profile $1 UpgradeHLT1FilteredMinbias
 
-python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 1000 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq -f /scratch/z5/data/Hlt2Throughput/*mdf --nonuma --forcerun -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
+
-- 
GitLab


From 5fd19589bfb66d67dd7644e1c075b56d7fb64c71 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 10 Oct 2019 21:25:01 +0000
Subject: [PATCH 59/96] Add throughput test runner for Moore

---
 doprofile.sh           |  24 ++-
 run_throughput_jobs.py | 429 +++++++++++++++++++++++++++++++++++++++++
 2 files changed, 447 insertions(+), 6 deletions(-)
 create mode 100755 run_throughput_jobs.py

diff --git a/doprofile.sh b/doprofile.sh
index 41731f22..cc71de09 100755
--- a/doprofile.sh
+++ b/doprofile.sh
@@ -1,14 +1,26 @@
 #! /usr/bin/bash
-
 set -euo pipefail
 
-echo "yeah yeah yeah yeah such profile much wow! "
+DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
+
+# Normally, one would wrap the executable with amplxe-cl:
+#     amplxe-cl [...] -- ./prog
+# However this leads to a significant drop in throughput for an unknown reason.
+# For now we work around this by delaying starting vtune such that it only
+# starts after initialize (the sleep) and detaches before
+# finalize (the -d flag).
 sleep 60
 amplxe-cl -collect hotspots -d 60 -target-pid=${1} -r profile_out > /dev/null
+# At the end of collection the executable above does some preproscessing, 
+# which should can affect the throughput measurement. Since we profile using
+# a single job bound to a single numa domain, we want to avoid affecting the
+# throughput such that it is easy to compare to a fully loaded machine.
+# For this reason, this script should be executed on a different numa domain.
 
-amplxe-cl -R top-down -column="CPU Time:Self","Module" -report-out result.csv -format csv -csv-delimiter comma -r profile_out
+amplxe-cl -R top-down -column="CPU Time:Self","Module" \
+    -report-out result.csv -format csv -csv-delimiter comma -r profile_out
 sed -i '1d' result.csv > /dev/null
 
-./stackcollapse-vtune.pl result.csv | ./flamegraph.pl --cp --title "HLT1 Flame Graph" --minwidth 2 --width 1600 > flamy.svg
-
-echo "Done"
+"$DIR/stackcollapse-vtune.pl" result.csv | \
+    "$DIR/flamegraph.pl" --cp --title "HLT1 Flame Graph" --minwidth 2 --width 1600 \
+    > flamy.svg
diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
new file mode 100755
index 00000000..79996409
--- /dev/null
+++ b/run_throughput_jobs.py
@@ -0,0 +1,429 @@
+#!/usr/bin/env python
+###############################################################################
+# (c) Copyright 2019 CERN for the benefit of the LHCb Collaboration           #
+#                                                                             #
+# This software is distributed under the terms of the GNU General Public      #
+# Licence version 3 (GPL Version 3), copied verbatim in the file "COPYING".   #
+#                                                                             #
+# In applying this licence, CERN does not waive the privileges and immunities #
+# granted to it by virtue of its status as an Intergovernmental Organization  #
+# or submit itself to any jurisdiction.                                       #
+###############################################################################
+"""Run one or more multithreaded jobs and measure throughput.
+
+This is effectively a wrapper around gaudirun.py, which allows running
+multi-job and multi-threaded jobs. It uses numactl if available to bind
+each job to a numa domain. It also supports VTune profiling.
+
+Examples:
+    # HLT1 throughput
+    Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e6 \
+        '$HLT1CONFROOT/options/hlt1_pp_default.py'
+
+    # HLT1 reconstruction throughput
+    Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e6 \
+        '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+
+    # HLT2 reconstruction throughput (like brunel)
+    Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e4 \
+        --test-file-db-key=UpgradeHLT1FilteredMinbias \
+        '$MOOREROOT/options/ft_decoding_v2.py' \
+        '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
+
+    # HLT2 reconstruction throughput
+    Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e4 \
+        --test-file-db-key=UpgradeHLT1FilteredMinbias \
+        '$MOOREROOT/options/ft_decoding_v2.py' \
+        '$RECOCONFROOT/options/hlt2_reco_baseline.py'
+
+    # HLT2 reconstruction throughput (many jobs)
+    Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 250 -j 40 \
+        --test-file-db-key=UpgradeHLT1FilteredMinbias \
+        '$MOOREROOT/options/ft_decoding_v2.py' \
+        '$RECOCONFROOT/options/hlt2_reco_baseline.py'
+
+    # HLT1 profile (vtune must be already set up)
+    Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e5 \
+        --profile \
+        '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+
+    # HLT1 profile using lb-stack-setup
+    utils/build-env bash -c '
+        source /cvmfs/projects.cern.ch/intelsw/psxe/linux/all-setup.sh
+        Moore/build.$BINARY_TAG/run \
+            echo lhcb-benchmark-scripts/run_throughput_jobs.py \
+                -n 1e5 --profile \
+                \$RECOCONFROOT/options/hlt1_reco_baseline.py'
+
+TODO:
+- run each job (and profiler) in a different cwd
+- integrate some of this into gaudirun.py?
+
+"""
+from __future__ import print_function, division
+import atexit
+import argparse
+import logging
+import math
+import os
+import re
+import shutil
+import socket
+import subprocess
+import tempfile
+from itertools import cycle, islice
+
+AVERAGE_EVENT_SIZE = 150 * 1000  # upper limit of average event size
+
+
+def rep(x, length):
+    return list(islice(cycle(x), length))
+
+
+def lscpu():
+    output = subprocess.check_output(['lscpu', '-p=NODE'])
+    lines = [line for line in output.splitlines() if not line.startswith('#')]
+    res = {
+        'n_logical_cpus': len(lines),
+        'n_numa_nodes': len(set(lines)),
+    }
+    assert res['n_logical_cpus'] % res['n_numa_nodes'] == 0
+    return res
+
+
+CPU_INFO = lscpu()
+DEFAUL_CACHE_DIRS = {
+    'default': [
+        '/run/throughput/numa{}'.format(i)
+        for i in range(CPU_INFO['n_numa_nodes'])
+    ],
+    'lbhltperf01.cern.ch': ['/scratch/lhcbpr2', '/scratch/numa1'],
+}
+
+# prefer XDG_RUNTIME_DIR which should be on tmpfs
+FALLBACK_CACHE_DIR = os.getenv('XDG_RUNTIME_DIR', tempfile.gettempdir())
+
+
+def default_cache_dirs():
+    hostname = socket.getfqdn()
+    dirs = DEFAUL_CACHE_DIRS.get(hostname, DEFAUL_CACHE_DIRS['default'])
+    assert len(dirs) == CPU_INFO['n_numa_nodes']
+    return dirs
+
+
+def is_tmpfs(path):
+    try:
+        output = subprocess.check_output(['df', '-T', path])
+    except subprocess.CalledProcessError:
+        return False
+    lines = output.splitlines()
+    assert len(lines) == 2
+    assert lines[0].split()[1] == 'Type'
+    return lines[1].split()[1] == 'tmpfs'
+
+
+def is_remote(url):
+    return url.startswith('mdf:root:') or url.startswith('root:')
+
+
+def has_command(cmd):
+    try:
+        with open(os.devnull, 'w') as FNULL:
+            subprocess.check_call(cmd, stdout=FNULL, stderr=FNULL)
+        return True
+    except OSError as e:
+        logging.debug(str(e))
+        return False
+    except subprocess.CalledProcessError as e:
+        logging.debug(str(e))
+        return e.returncode in [0, 1]
+
+
+def run_gaudi_job(log_filename,
+                  input_files,
+                  args,
+                  numa_node=None,
+                  profiler_numa_node=None):
+
+    # build command line
+    extra_options = """
+from Moore import options
+options.n_threads = {n_threads!r}
+options.n_event_slots = {evt_slots!r}
+options.evt_max = {n_evts!r}
+options.use_iosvc = True
+options.event_store = 'EvtStoreSvc'
+options.set_conds_from_testfiledb({TFDBkey!r})
+options.input_type = 'MDF'
+options.input_files = {inputs!r}
+""".format(
+        n_evts=args.events,
+        evt_slots=args.evtSlots,
+        n_threads=args.threads,
+        inputs=input_files,
+        TFDBkey=args.test_file_db_key)
+
+    cmd = [
+        'gaudirun.py', '--all-opts', '--output=options.py', '--option',
+        extra_options
+    ] + [os.path.expandvars(x) for x in args.options]
+
+    # prepend the command line with numactl if needed
+    if numa_node is not None:
+        cmd = ["numactl", "-N",
+               str(numa_node), "-m",
+               str(numa_node), "--"] + cmd
+
+    # run the test
+    logging.debug("Launching job with cmd: {}".format(cmd))
+    log_file = open(log_filename, 'w+')
+    process = subprocess.Popen(cmd, stdout=log_file, stderr=subprocess.STDOUT)
+
+    if args.profile:
+        logging.info("Launching profiler")
+
+        prof_cmd = [
+            os.path.join(os.path.dirname(__file__), "doprofile.sh"),
+            str(process.pid)
+        ]
+        if profiler_numa_node is not None:
+            prof_cmd = [
+                "numactl", "-N",
+                str(profiler_numa_node), "-m",
+                str(profiler_numa_node), "--"
+            ] + prof_cmd
+        else:
+            logging.warn("Profiler not bound to a (different) numa domain. "
+                         "Throughput might be affected.")
+        logging.debug("Launching job with cmd: {}".format(cmd))
+        subprocess.Popen(prof_cmd)
+
+    return process, log_file
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
+    parser.add_argument('options', nargs='+', help='Gaudi options files.')
+    parser.add_argument(
+        '-j',
+        '--jobs',
+        dest='n_jobs',
+        type=int,
+        default=None,
+        help='Number of processes to launch (defaults to # numa nodes)')
+    parser.add_argument(
+        '-t',
+        '--threads',
+        type=int,
+        default=None,
+        help='Number of threads per job (defaults to # logical cpus / # jobs.')
+    parser.add_argument(
+        '-e',
+        '--evtSlots',
+        type=int,
+        help='Number of event slots per job (defaults to max(1.2 * # threads, '
+        '1 + # threads)')
+    parser.add_argument(
+        '-n',
+        '--events',
+        default=1000,
+        type=lambda x: int(round(float(x))),
+        help='nb of events to process per job')
+    parser.add_argument(
+        '--outfileTag',
+        default='',
+        help="Output file name tag, name will be 'ThroughputTest_TAG_...'")
+    parser.add_argument(
+        '--test-file-db-key',
+        default='MiniBrunel_2018_MinBias_FTv4_MDF',
+        help='TestFileDB key defining input files and tags.')
+    parser.add_argument(
+        '-f',
+        '--inputs',
+        nargs='+',
+        help='Names of input files, multiple names possible (defaults to '
+        'files from TestFileDB entry if not given)')
+    parser.add_argument(
+        '--cache-dirs',
+        default=None,
+        help='Comma separated paths to directories, one per job, where the '
+        'input files will be cached (default is hostname dependent or '
+        '$XDG_RUNTIME_DIR).')
+    parser.add_argument(
+        '--nonuma',
+        action='store_true',
+        help='whether to disable usage of numa domains.')
+    parser.add_argument(
+        '--profile',
+        action='store_true',
+        help='Enable vtune profiling (only supported for single job).')
+    parser.add_argument(
+        '--debug', action='store_true', help='Debugging output')
+    args = parser.parse_args()
+
+    logging.basicConfig(
+        format='%(levelname)-7s %(message)s',
+        level=(logging.DEBUG if args.debug else logging.INFO))
+
+    if CPU_INFO['n_numa_nodes'] == 1:
+        args.nonuma = True
+    elif not args.nonuma:
+        if not has_command(['numactl', '--help']):
+            logging.warn('numactl not found, running without binding to nodes')
+            args.nonuma = True
+
+    if args.profile:
+        if not has_command(['amplxe-cl', '--help']):
+            raise RuntimeError(
+                "amplxe-cl --help failed, please set up vtune with\n"
+                "    source /cvmfs/projects.cern.ch/intelsw/psxe/linux/"
+                "all-setup.sh")
+        args.n_jobs = args.n_jobs or 1
+        if args.n_jobs > 1:
+            parser.error("VTune Profile only supported for single job")
+        args.threads = args.threads or (
+            CPU_INFO['n_logical_cpus'] // CPU_INFO['n_numa_nodes'])
+    else:
+        args.n_jobs = args.n_jobs or (1 if args.nonuma else
+                                      CPU_INFO['n_numa_nodes'])
+        if args.n_jobs != CPU_INFO['n_numa_nodes']:
+            logging.warn("There are {} available numa nodes but you are "
+                         "launching {} jobs".format(CPU_INFO['n_numa_nodes'],
+                                                    args.n_jobs))
+        args.threads = args.threads or (
+            CPU_INFO['n_logical_cpus'] // args.n_jobs)
+
+    # check total number of threads
+    if args.n_jobs * args.threads > CPU_INFO['n_logical_cpus']:
+        logging.warn(
+            "CPU has {} threads but you specified {} jobs with {} threads "
+            "each. This will overcommit the CPU.".format(
+                CPU_INFO['n_logical_cpus'], args.n_jobs, args.threads))
+
+    if args.evtSlots is None:
+        args.evtSlots = max(int(round(1.2 * args.threads)), 1 + args.threads)
+
+    tag = ''
+    if args.outfileTag != '':
+        tag = '_' + args.outfileTag + '_'
+
+    # Set up local directories where inputs are cached
+    if args.cache_dirs:
+        args.cache_dirs = args.cache_dirs.split(',')
+    else:
+        args.cache_dirs = default_cache_dirs()
+        if any(not os.path.isdir(d) for d in args.cache_dirs):
+            fallback_dir = tempfile.mkdtemp(
+                prefix='throughput-', dir=FALLBACK_CACHE_DIR)
+            logging.warn(
+                'not all default cache dirs {!r} exist, using {}'.format(
+                    args.cache_dirs, fallback_dir))
+            args.cache_dirs = [fallback_dir] * args.n_jobs
+            # if we use the fallback directory, clean up after ourselves
+            atexit.register(shutil.rmtree, fallback_dir)
+    if len(args.cache_dirs) < args.n_jobs:
+        args.cache_dirs = rep(args.cache_dirs, args.n_jobs)
+        logging.warn('Recycling cache directories to {!r}'.format(
+            args.cache_dirs))
+
+    if not args.inputs:
+        from Moore.qmtest.context import download_mdf_inputs_locally
+        from PRConfig.TestFileDB import test_file_db
+        inputs_fns = test_file_db[args.test_file_db_key].filenames
+    else:
+        inputs_fns = args.inputs
+
+    # Distribute input files between jobs
+    # - give a different set of files to each job, if possible
+    if len(inputs_fns) < args.n_jobs:
+        logging.warn('Too few input files: inputs will be recycled. '
+                     'Some events will be processed more than once.')
+        # recycle the list of inputs and cut it off at the minimal length
+        inputs_fns = (inputs_fns * args.n_jobs)[:args.n_jobs]
+    # - distribute the inputs alternating between jobs
+    job_inputs = [inputs_fns[i::args.n_jobs] for i in range(args.n_jobs)]
+    # - download inputs, get job input size and recycle inputs if needed
+    #   based on # events
+    for i, inputs in enumerate(job_inputs):
+        # download files
+        if all(is_remote(url) for url in inputs):
+            logging.info('Downloading inputs for job {} to {}'.format(
+                i, args.cache_dirs[i]))
+            inputs[:] = download_mdf_inputs_locally(
+                inputs,
+                args.cache_dirs[i],
+                max_size=args.events * AVERAGE_EVENT_SIZE)
+        elif any(is_remote(url) for url in inputs):
+            parser.error('inputs must either be all xrootd or all local')
+        # recycle if needed
+        sizes = [os.path.getsize(fn) for fn in inputs]
+        n_rep = int(math.ceil(args.events / (sum(sizes) / AVERAGE_EVENT_SIZE)))
+        if n_rep > 1:
+            logging.warn(
+                'Inputs for job {} are likely too few, recycling by a factor '
+                'of {}'.format(i, n_rep))
+            inputs.extend(inputs * (n_rep - 1))
+    # - check and warn if some input files are used more than once
+    unique_inputs = set().union(*job_inputs)
+    if len(unique_inputs) < sum(len(i) for i in job_inputs):
+        logging.warn('Some input files are given more than once. '
+                     'Some events might be processed more than once.')
+
+    slow_inputs = [path for path in unique_inputs if not is_tmpfs(path)]
+    if slow_inputs:
+        logging.warn('Inputs {!r} not on tmpfs, reading might be slower'.
+                     format(slow_inputs))
+
+    # Start all jobs
+    runningJobs = []
+    for i_job in range(args.n_jobs):
+        if not args.nonuma:
+            numa_node = i_job % CPU_INFO['n_numa_nodes']
+            # put profiler on a different numa node
+            profiler_numa_node = i_job % CPU_INFO['n_numa_nodes'] + 1
+        else:
+            numa_node = None
+            profiler_numa_node = None
+
+        log_filename = (
+            'ThroughputTest{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}.log'.format(
+                tag, os.environ['BINARY_TAG'], args.threads, args.n_jobs,
+                args.events, i_job))
+        logging.info('Launching job {}...'.format(i_job))
+        runningJobs.append(
+            run_gaudi_job(log_filename, job_inputs[i_job], args, numa_node,
+                          profiler_numa_node))
+
+    # Wait for jobs to finish and collect results
+    n_failed_jobs = 0
+    throughputs = []
+    for i_job, (job, ofile) in enumerate(runningJobs):
+        logging.info('Waiting for job {} to complete...'.format(i_job))
+        retcode = job.wait()
+        if retcode != 0:
+            logging.warn(
+                "non-zero return code from job {} with output file {}".format(
+                    i_job, ofile.name))
+            n_failed_jobs += 1
+            if args.debug and n_failed_jobs == 1:
+                ofile.seek(0)
+                for line in ofile:
+                    print(line, end='')
+        # set file index to top of file
+        ofile.seek(0)
+        # read all lines from file
+        lines = ofile.readlines()
+        for line in lines[::-1]:
+            m = re.search(r"Evts\/s = ([\d.]+)", line)
+            if m:
+                throughputs.append(float(m.group(1)))
+                print("Throughput of job {} is {} Evts/s.".format(
+                    i_job, throughputs[-1]))
+                break
+        ofile.close()
+
+    print(
+        "Throughput test is finished. Overall reached Throughput is Evts/s = {}".
+        format(sum(throughputs)))
+    if n_failed_jobs:
+        exit('Some job(s) failed: check the warnings above for the retcode')
-- 
GitLab


From 3f2adbc244b005c2b6d093c1a666a9b99795d190 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Mon, 21 Oct 2019 18:55:03 +0000
Subject: [PATCH 60/96] adding explicit bash scripts for running nightly tests
 as discussed in
 https://gitlab.cern.ch/lhcb-core/LHCbNightlyConf/merge_requests/236

---
 scripts/Moore_hlt1_reco_baseline.sh    | 5 +++++
 scripts/Moore_hlt2_reco_baseline.sh    | 5 +++++
 scripts/Moore_hlt2_reco_brunelesque.sh | 5 +++++
 3 files changed, 15 insertions(+)
 create mode 100644 scripts/Moore_hlt1_reco_baseline.sh
 create mode 100644 scripts/Moore_hlt2_reco_baseline.sh
 create mode 100644 scripts/Moore_hlt2_reco_brunelesque.sh

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
new file mode 100644
index 00000000..356832fd
--- /dev/null
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log 
+
+run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
new file mode 100644
index 00000000..d5c0ec45
--- /dev/null
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+
+run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py'
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
new file mode 100644
index 00000000..dfa517b2
--- /dev/null
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log 
+
+run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
-- 
GitLab


From e256b4c3901bb7b71b589c03590bd4d7e10b6564 Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maszyman@cern.ch>
Date: Thu, 24 Oct 2019 14:08:31 +0200
Subject: [PATCH 61/96] make Moore scripts executable

---
 scripts/Moore_hlt1_reco_baseline.sh    | 0
 scripts/Moore_hlt2_reco_baseline.sh    | 0
 scripts/Moore_hlt2_reco_brunelesque.sh | 0
 3 files changed, 0 insertions(+), 0 deletions(-)
 mode change 100644 => 100755 scripts/Moore_hlt1_reco_baseline.sh
 mode change 100644 => 100755 scripts/Moore_hlt2_reco_baseline.sh
 mode change 100644 => 100755 scripts/Moore_hlt2_reco_brunelesque.sh

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
old mode 100644
new mode 100755
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
old mode 100644
new mode 100755
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
old mode 100644
new mode 100755
-- 
GitLab


From 652919625d709c0a75763f60120c52864f845b8e Mon Sep 17 00:00:00 2001
From: Maciej Szymanski <maszyman@cern.ch>
Date: Thu, 24 Oct 2019 14:23:08 +0200
Subject: [PATCH 62/96] fix path to the actual script

---
 scripts/Moore_hlt1_reco_baseline.sh    | 4 ++--
 scripts/Moore_hlt2_reco_brunelesque.sh | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index 356832fd..7187c7f1 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log 
+${PWD}/run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+${PWD}/run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index dfa517b2..89f2465c 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log 
+${PWD}/run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
+${PWD}/run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
-- 
GitLab


From cd995fff7c6f080cf2b38b913bab2e987cbe21e8 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Thu, 24 Oct 2019 13:25:01 +0000
Subject: [PATCH 63/96] proper call for scripts

---
 scripts/Moore_hlt1_reco_baseline.sh    | 4 ++--
 scripts/Moore_hlt2_reco_baseline.sh    | 4 ++--
 scripts/Moore_hlt2_reco_brunelesque.sh | 4 ++--
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index 7187c7f1..cb472b47 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-${PWD}/run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-${PWD}/run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index d5c0ec45..74e72444 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py'
+$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py'
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index 89f2465c..2aa3c70a 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-${PWD}/run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-${PWD}/run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
+$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
-- 
GitLab


From b92f60f423eda9fe1baa1d60cc9044c6657ee5f0 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Fri, 25 Oct 2019 08:57:16 +0000
Subject: [PATCH 64/96] update for Moore throughput tests

---
 scripts/Moore_hlt2_reco_baseline.sh    | 4 ++--
 scripts/Moore_hlt2_reco_brunelesque.sh | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index 74e72444..6f040d79 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py'
+$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py'
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index 2aa3c70a..166ade8e 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
+$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
-- 
GitLab


From 17349d020293f75e4ac4deba8b0bc1e645b747e3 Mon Sep 17 00:00:00 2001
From: Rosen Matev <rosen.matev@cern.ch>
Date: Fri, 25 Oct 2019 14:33:01 +0200
Subject: [PATCH 65/96] Hardcode input file paths on lbhltperf01

---
 run_throughput_jobs.py                 |  4 ++--
 scripts/Moore_hlt1_reco_baseline.sh    | 11 +++++++++--
 scripts/Moore_hlt2_reco_baseline.sh    |  9 +++++++--
 scripts/Moore_hlt2_reco_brunelesque.sh |  9 +++++++--
 4 files changed, 25 insertions(+), 8 deletions(-)

diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index 79996409..a6137033 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -92,7 +92,7 @@ def lscpu():
 
 
 CPU_INFO = lscpu()
-DEFAUL_CACHE_DIRS = {
+DEFAULT_CACHE_DIRS = {
     'default': [
         '/run/throughput/numa{}'.format(i)
         for i in range(CPU_INFO['n_numa_nodes'])
@@ -106,7 +106,7 @@ FALLBACK_CACHE_DIR = os.getenv('XDG_RUNTIME_DIR', tempfile.gettempdir())
 
 def default_cache_dirs():
     hostname = socket.getfqdn()
-    dirs = DEFAUL_CACHE_DIRS.get(hostname, DEFAUL_CACHE_DIRS['default'])
+    dirs = DEFAULT_CACHE_DIRS.get(hostname, DEFAULT_CACHE_DIRS['default'])
     assert len(dirs) == CPU_INFO['n_numa_nodes']
     return dirs
 
diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index cb472b47..be847e23 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -1,5 +1,12 @@
 #!/bin/bash
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
+  inputs=(-f "/run/throughput/numa0/00067189.mdf" "/run/throughput/numa1/00067189.mdf")
+  inputs_profile="${inputs[@]:0:2}"
+fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+
+$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index 6f040d79..895b4cb8 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -1,5 +1,10 @@
 #!/bin/bash
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where we have more space for HLT2 input at
+  cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
+fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py'
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+
+$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index 166ade8e..c8e04c9f 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -1,5 +1,10 @@
 #!/bin/bash
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' 2>&1 | tee ThroughputTest_MaxThrough.log
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where we have more space for HLT2 input at
+  cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
+fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+
+$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
-- 
GitLab


From d958541735691359352864a70bc5e577107e8b04 Mon Sep 17 00:00:00 2001
From: Rosen Matev <rosen.matev@cern.ch>
Date: Sat, 26 Oct 2019 10:51:07 +0000
Subject: [PATCH 66/96] Update Moore_hlt1_reco_baseline.sh

---
 scripts/Moore_hlt1_reco_baseline.sh | 1 -
 1 file changed, 1 deletion(-)

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index be847e23..f4a27fe8 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -3,7 +3,6 @@
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where the files are put manually at:
   inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs=(-f "/run/throughput/numa0/00067189.mdf" "/run/throughput/numa1/00067189.mdf")
   inputs_profile="${inputs[@]:0:2}"
 fi
 
-- 
GitLab


From 27a54a3c2e2745cb32fcdb2adbd19ef20c51f483 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Tue, 29 Oct 2019 09:07:59 +0000
Subject: [PATCH 67/96] fixing arguments of the profile job

This is to mitigate errors like here: https://eoslhcbhttp.cern.ch//eos/lhcb/storage/lhcbpr/www/PerfTests/UpgradeVelo/logs/Moore/Moore_hlt1_reco_baseline/lhcb-test-throughput.366_2019-10-28_16:28:32_+0100/run.log. See also LBCORE-1827.

Python interprets "${inputs_profile[@]}" as a single argument: "-f /scratch/lhcbpr2/00067189.mdf". Argparse takes then ' /scratch/lhcbpr2/00067189.mdf' as an input.
---
 scripts/Moore_hlt1_reco_baseline.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index f4a27fe8..21148d31 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -8,4 +8,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
 
-$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' ${inputs_profile[@]}
-- 
GitLab


From 9488337c907fa90c3919c971577f56c5d8090844 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Tue, 29 Oct 2019 14:38:36 +0000
Subject: [PATCH 68/96] Apply suggestion to scripts/Moore_hlt1_reco_baseline.sh

---
 scripts/Moore_hlt1_reco_baseline.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index 21148d31..418706a3 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -3,7 +3,7 @@
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where the files are put manually at:
   inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile="${inputs[@]:0:2}"
+  inputs_profile=(${inputs[@]:0:2})
 fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
-- 
GitLab


From 4ad70c3c02f753626ef6351fbda30c83d9adb302 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Tue, 29 Oct 2019 14:40:24 +0000
Subject: [PATCH 69/96] Revert "fixing arguments of the profile job"

This reverts commit 27a54a3c2e2745cb32fcdb2adbd19ef20c51f483
---
 scripts/Moore_hlt1_reco_baseline.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index 418706a3..ab381e07 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -8,4 +8,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
 
-$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' ${inputs_profile[@]}
+$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
-- 
GitLab


From d5ab17d5bc0256a4cee0ad678aba432fd97b9bcd Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Tue, 12 Nov 2019 10:12:07 +0000
Subject: [PATCH 70/96] New hlt1 throughput tests

---
 scripts/Moore_hlt1_pp_default.sh   | 11 +++++++++++
 scripts/Moore_hlt1_pp_track_mva.sh | 11 +++++++++++
 2 files changed, 22 insertions(+)
 create mode 100755 scripts/Moore_hlt1_pp_default.sh
 create mode 100755 scripts/Moore_hlt1_pp_track_mva.sh

diff --git a/scripts/Moore_hlt1_pp_default.sh b/scripts/Moore_hlt1_pp_default.sh
new file mode 100755
index 00000000..f45d10ee
--- /dev/null
+++ b/scripts/Moore_hlt1_pp_default.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
+  inputs_profile=(${inputs[@]:0:2})
+fi
+
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+
+$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_pp_track_mva.sh b/scripts/Moore_hlt1_pp_track_mva.sh
new file mode 100755
index 00000000..42c2bfcd
--- /dev/null
+++ b/scripts/Moore_hlt1_pp_track_mva.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
+  inputs_profile=(${inputs[@]:0:2})
+fi
+
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+
+$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs_profile[@]}"
-- 
GitLab


From 6696a996876fe5bd0d6ae958ada991fc5add1004 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 14 Nov 2019 12:41:49 +0000
Subject: [PATCH 71/96] Adding script to do throughput testing for FTv6

---
 scripts/Moore_hlt1_reco_ftv6.sh | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 scripts/Moore_hlt1_reco_ftv6.sh

diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
new file mode 100644
index 00000000..02f1492c
--- /dev/null
+++ b/scripts/Moore_hlt1_reco_ftv6.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/uncompressed_large.mdf" "/scratch/numa1/uncompressed_large.mdf")
+  inputs_profile=(${inputs[@]:0:2})
+fi
+
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+
+$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
-- 
GitLab


From c9e94bc2de4927472ff553c8d2968e2458f7441c Mon Sep 17 00:00:00 2001
From: mstahl <marian.stahl@cern.ch>
Date: Sat, 16 Nov 2019 13:35:08 +0100
Subject: [PATCH 72/96] giving correct permissions to
 scripts/Moore_hlt1_reco_ftv6.sh

---
 scripts/Moore_hlt1_reco_ftv6.sh | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 mode change 100644 => 100755 scripts/Moore_hlt1_reco_ftv6.sh

diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
old mode 100644
new mode 100755
-- 
GitLab


From b0caf862025f3377127f47b25d09d16a39f70636 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Mon, 18 Nov 2019 20:02:04 +0000
Subject: [PATCH 73/96] Add breakdown plot from vtune result plus a bit of
 refactoring and cleanup

---
 .gitignore                             |  10 ++
 Readme.md                              |  29 ++++-
 RunHlt2ThroughputJobs.py               |  49 ++++++++-
 RunThroughputJobs.py                   |  47 +++++++-
 cleanup.sh                             |   8 --
 doHlt2profile.sh                       |  16 ---
 doprofile.sh                           |  26 -----
 make_profile_plots.py                  | 144 +++++++++++++++++++++++++
 runHlt2Profile.sh                      |   4 -
 runProfile.sh                          |   6 +-
 run_throughput_jobs.py                 |  94 +++++++++++-----
 scripts/Moore_hlt1_pp_default.sh       |   2 +-
 scripts/Moore_hlt1_pp_track_mva.sh     |   2 +-
 scripts/Moore_hlt1_reco_baseline.sh    |   4 +-
 scripts/Moore_hlt2_reco_baseline.sh    |   2 +-
 scripts/Moore_hlt2_reco_brunelesque.sh |   2 +-
 16 files changed, 342 insertions(+), 103 deletions(-)
 delete mode 100755 cleanup.sh
 delete mode 100755 doHlt2profile.sh
 delete mode 100755 doprofile.sh
 create mode 100755 make_profile_plots.py

diff --git a/.gitignore b/.gitignore
index 5b11a7e4..8e4856f5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,13 @@
 __pycache__/
 *.py[cod]
 *.log
+*.pdf
+*.png
+*.svg
+*.gv
+options.py
+._*
+*.csv
+profile_out/
+*~
+*orig
diff --git a/Readme.md b/Readme.md
index 633687bf..015142e4 100644
--- a/Readme.md
+++ b/Readme.md
@@ -1,9 +1,13 @@
-This repository provides a set of scripts to ease benchmarking of Minibrunel.
-You will find there 7 scripts and here is a short description of each of them
+# LHCb benchmark scripts
+This repository provides a set of scripts to benchmark (Mini)brunel and Moore.
+It is used to run [Performance and Regression](https://twiki.cern.ch/twiki/bin/view/LHCb/LHCbPR) (PR) tests on top of nightly builds.
 
-The first one to use is RunThroughputJobs.py, which runs a throughput test given a certain options file.
-Note that this is only supported for options files which are part of `Brunel/Rec/Brunel/python/upgrade_options`    
+## Structure of the repository
+Currently, there are 3 scripts to run throughput and profiling tests.
+One for Brunel using the new scheduler (`RunThroughputJobs.py`), one for "old-fashined" Brunel (`RunHlt2ThroughputJobs.py`) and one for Moore (`run_throughput_jobs.py`).<br>
+In the close future only `run_throughput_jobs.py` will survive and all Brunel tests will be moved to Moore.
 
+All of these scripts can digest similar command line options.
 Check the help, but main things you want to know are :
   - OptsFileName specifies the options file to be used from `Brunel/Rec/Brunel/python/upgrade_options`, only name without .py ending
   - TestFileDBKey sets the input file one wishes to use, for actual testing please overwrite filepath to use local files see -f option.
@@ -26,3 +30,20 @@ The output of `RunThroughputJobs.py` is a set of .log files. One of each per job
 
 `plotScaling.py` is simply executed in the base folder and looks for files matching the naming convention of the produced log files of the `doScaling.py` test and then produces a plot `scalingTest.png` which shows the throughput of each tested configuration.
 
+## Work locally to make flamegraphs or get throughputs
+We recommend to work in the [lb-stack-setup](https://gitlab.cern.ch/rmatev/lb-stack-setup) environment.
+Once the stack is set up and built, and `lhcb-benchmark-scripts` is cloned, making flamegraphs or throughputs becomes a one-liner.
+
+Have a look at the current PR nightly tests for Moore, that live in `scripts`. These are shell scripts that just call the main `run_throughput_jobs.py` script with appropriate options. Most will run a throughput test first, and then a profiling test. You may want to (copy and) edit such a script. The script can then be executed in the runtime environment which has been previously set up like so:
+```
+../utils/build-env bash -c 'source /cvmfs/projects.cern.ch/intelsw/psxe/linux/all-setup.sh; ../Moore/build.$BINARY_TAG/run scripts/Moore_hlt1_reco_baseline.sh'
+```
+This assumes that you are in the `lhcb-benchmark-scripts` directory and your stack directory is one level above. Within the `lb-stack-setup` env, the Intel VTune tools have to be setup (`source /cvmfs/projects.cern.ch/intelsw/psxe/linux/all-setup.sh`). This is only needed if you want to run a profiling job (i.e. make a flamegraph). The rest of the command is calling the shell script in your custom built Moore environment.
+
+### Input files
+To get reliable throughput numbers, input files are copied to local storage. This copy is temporary and will be done every time a test is run. To speed up your local tests, we recommend to download the input manually and pass it to the test with the `-f` option.
+
+### Cleaning up
+Running local tests produces some output in the current directory. If you ran the commands from the `lhcb-benchmark-scripts` directory, you can clean up all these files with `git clean`.<br> A dry run can be done with `git clean -nxd`. Running `git clean -fxd` will remove the files.
+
+Running profiling jobs will also change the `palette.map` file. These changes should not be committed and you can ignore them with `git update-index --assume-unchanged palette.map`
diff --git a/RunHlt2ThroughputJobs.py b/RunHlt2ThroughputJobs.py
index 611f0cc0..09dd185b 100755
--- a/RunHlt2ThroughputJobs.py
+++ b/RunHlt2ThroughputJobs.py
@@ -28,11 +28,50 @@ def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
     process = subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT, env=modifiedEnv)
 
     if doprofile:
-     cmdLine = [str(os.path.dirname(os.path.realpath(__file__)))+"/doHlt2profile.sh" , str(process.pid), modifiedEnv['TAG']]
-     if nbNumaNodes > 1:
-       node = (jobidx % nbNumaNodes) + 1
-       cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
-     profprocess = subprocess.Popen(cmdLine)
+        print("Launching profiler")
+        # Normally, one would wrap the executable with amplxe-cl:
+        #     amplxe-cl [...] -- ./prog
+        # However this leads to a significant drop in throughput for an unknown reason.
+        # For now we work around this by delaying starting vtune such that it only
+        # starts after initialize (the sleep) and detaches before
+        # finalize (the -d flag).
+        subprocess.Popen(["sleep","60"]).wait()
+
+        prof_cmd = ["amplxe-cl","-collect hotspots","-d","60","-target-pid=",str(process.pid),"-r","profile_out"]
+        # At the end of collection the executable above does some preproscessing,
+        # which should can affect the throughput measurement. Since we profile using
+        # a single job bound to a single numa domain, we want to avoid affecting the
+        # throughput such that it is easy to compare to a fully loaded machine.
+        # For this reason, this script should be executed on a different numa domain.
+
+        if nbNumaNodes > 1:
+            node = (jobidx % nbNumaNodes) + 1
+            prof_cmd = ["numactl", "-N", str(node), "-m", str(node), "--"] + prof_cmd
+        else:
+            print("WARNING: Profiler not bound to a (different) numa domain. Throughput might be affected.")
+
+        pro_log_file = open("vtune_output.log", 'w+')
+        subprocess.Popen(prof_cmd,stdout=pro_log_file, stderr=subprocess.STDOUT)
+
+        ## wait for the hijacked job to finish
+        process.wait()
+        print("Making profile plots")
+        ## search for latest throughput numbers in the default log file to label the FlameBars plot
+        try:
+          parsed_throughput = 0
+          throughput_logfiles = [f for f in os.listdir(".") if 'ThroughputTest' in f]
+          for f in throughput_logfiles:
+            lines = open(f, "r").readlines()
+            for line in lines[::-1]:
+              m = re.search(r"Evts\/s = ([\d.]+)", line)
+              if m: parsed_throughput += float(m.group(1))
+          label_command = ["-t",str(parsed_throughput)]
+        except :
+            label_command = []
+
+        plotting_cmd = ["./make_profile_plots.py", "-r", "profile_out", "-l", "HLT2"]+label_command
+        process = subprocess.Popen(plotting_cmd)
+
     return process, outputFile
 
 def getTrhoughputs(idx, tag, njobs, nevents, algs, throughputs_per_job):
diff --git a/RunThroughputJobs.py b/RunThroughputJobs.py
index 8e6bf18c..cbccae6a 100755
--- a/RunThroughputJobs.py
+++ b/RunThroughputJobs.py
@@ -30,12 +30,49 @@ def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
     process = subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT, env=modifiedEnv)
 
     if doprofile:
-        cmdLine = ["./doprofile.sh" , str(process.pid)]
+        print("Launching profiler")
+        # Normally, one would wrap the executable with amplxe-cl:
+        #     amplxe-cl [...] -- ./prog
+        # However this leads to a significant drop in throughput for an unknown reason.
+        # For now we work around this by delaying starting vtune such that it only
+        # starts after initialize (the sleep) and detaches before
+        # finalize (the -d flag).
+        subprocess.Popen(["sleep","60"]).wait()
+
+        prof_cmd = ["amplxe-cl","-collect hotspots","-d","60","-target-pid=",str(process.pid),"-r","profile_out"]
+        # At the end of collection the executable above does some preproscessing,
+        # which should can affect the throughput measurement. Since we profile using
+        # a single job bound to a single numa domain, we want to avoid affecting the
+        # throughput such that it is easy to compare to a fully loaded machine.
+        # For this reason, this script should be executed on a different numa domain.
+
         if nbNumaNodes > 1:
             node = (jobidx % nbNumaNodes) + 1
-            cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
-        profprocess = subprocess.Popen(cmdLine)
+            prof_cmd = ["numactl", "-N", str(node), "-m", str(node), "--"] + prof_cmd
+        else:
+            print("WARNING: Profiler not bound to a (different) numa domain. Throughput might be affected.")
 
+        pro_log_file = open("vtune_output.log", 'w+')
+        subprocess.Popen(prof_cmd,stdout=pro_log_file, stderr=subprocess.STDOUT)
+
+        ## wait for the hijacked job to finish
+        process.wait()
+        print("Making profile plots")
+        ## search for latest throughput numbers in the default log file to label the FlameBars plot
+        try:
+          parsed_throughput = 0
+          throughput_logfiles = [f for f in os.listdir(".") if 'ThroughputTest' in f]
+          for f in throughput_logfiles:
+            lines = open(f, "r").readlines()
+            for line in lines[::-1]:
+              m = re.search(r"Evts\/s = ([\d.]+)", line)
+              if m: parsed_throughput += float(m.group(1))
+          label_command = ["-t",str(parsed_throughput)]
+        except :
+            label_command = []
+
+        plotting_cmd = ["./make_profile_plots.py", "-r", "profile_out", "-l", "HLT1"]+label_command
+        process = subprocess.Popen(plotting_cmd)
 
     return process, outputFile
 
@@ -131,12 +168,14 @@ def main():
 
     runningJobs=[]
 
+    logfile_prefix = "Profile" if args.profile else "ThroughputTest"
+
     tag = ''
     if args.outfileTag != '':
         tag = '_' + args.outfileTag + '_'
 
     for job in range(args.jobs):
-        outputFileName = 'ThroughputTest{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(tag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
+        outputFileName = '{:s}{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(logfile_prefix,tag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
         runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
 
     throughputs = []
diff --git a/cleanup.sh b/cleanup.sh
deleted file mode 100755
index b6f7f4ef..00000000
--- a/cleanup.sh
+++ /dev/null
@@ -1,8 +0,0 @@
-#! /usr/bin/bash
-
-set -euo pipefail
-
-rm -rf profile_out
-rm -f ThroughputTest*.log
-rm *.png
-rm *.svg
diff --git a/doHlt2profile.sh b/doHlt2profile.sh
deleted file mode 100755
index 48402941..00000000
--- a/doHlt2profile.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-#! /usr/bin/bash
-
-set -euo pipefail
-
-echo "yeah yeah yeah yeah such profile much wow! "
-sleep 100
-amplxe-cl -collect hotspots -d 180 -target-pid=${1} -r profile_out > /dev/null
-
-amplxe-cl -R top-down -column="CPU Time:Self","Module" -report-out result.csv -format csv -csv-delimiter comma -r profile_out
-sed -i '1d' result.csv > /dev/null
-
-dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
-echo $dir
-$dir/stackcollapse-vtune.pl result.csv | $dir/flamegraph.pl --cp --title "Hlt2 Flame Graph" --minwidth 2 --width 1600 > flamy.svg
-
-echo "Done"
diff --git a/doprofile.sh b/doprofile.sh
deleted file mode 100755
index cc71de09..00000000
--- a/doprofile.sh
+++ /dev/null
@@ -1,26 +0,0 @@
-#! /usr/bin/bash
-set -euo pipefail
-
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-# Normally, one would wrap the executable with amplxe-cl:
-#     amplxe-cl [...] -- ./prog
-# However this leads to a significant drop in throughput for an unknown reason.
-# For now we work around this by delaying starting vtune such that it only
-# starts after initialize (the sleep) and detaches before
-# finalize (the -d flag).
-sleep 60
-amplxe-cl -collect hotspots -d 60 -target-pid=${1} -r profile_out > /dev/null
-# At the end of collection the executable above does some preproscessing, 
-# which should can affect the throughput measurement. Since we profile using
-# a single job bound to a single numa domain, we want to avoid affecting the
-# throughput such that it is easy to compare to a fully loaded machine.
-# For this reason, this script should be executed on a different numa domain.
-
-amplxe-cl -R top-down -column="CPU Time:Self","Module" \
-    -report-out result.csv -format csv -csv-delimiter comma -r profile_out
-sed -i '1d' result.csv > /dev/null
-
-"$DIR/stackcollapse-vtune.pl" result.csv | \
-    "$DIR/flamegraph.pl" --cp --title "HLT1 Flame Graph" --minwidth 2 --width 1600 \
-    > flamy.svg
diff --git a/make_profile_plots.py b/make_profile_plots.py
new file mode 100755
index 00000000..c065e210
--- /dev/null
+++ b/make_profile_plots.py
@@ -0,0 +1,144 @@
+#!/usr/bin/env python
+###############################################################################
+# (c) Copyright 2019 CERN for the benefit of the LHCb Collaboration           #
+#                                                                             #
+# This software is distributed under the terms of the GNU General Public      #
+# Licence version 3 (GPL Version 3), copied verbatim in the file "COPYING".   #
+#                                                                             #
+# In applying this licence, CERN does not waive the privileges and immunities #
+# granted to it by virtue of its status as an Intergovernmental Organization  #
+# or submit itself to any jurisdiction.                                       #
+###############################################################################
+"""
+Make flamegraph and "FlameBars" from vtune profiling output
+
+Example:
+    #if vtune profiling output has been dumped to the `profile_out` directory, run:
+    make_profile_plots.py -r profile_out
+    #with all options:
+    make_profile_plots.py -r profile_out -n 8 -p hlt2_baseline_ -l HLT2 -t 180000
+"""
+
+
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import subprocess
+import re
+import os
+import argparse
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
+    parser.add_argument(
+        '-r',
+        '--results',
+        dest='results',
+        type=str,
+        default=None,
+        required=True,
+        help='vtune result directory')
+    parser.add_argument(
+        '-n',
+        '--nalgs',
+        dest='nalgs',
+        type=int,
+        default=8,
+        help='number of algorithms for FlameBars')
+    parser.add_argument(
+        '-p',
+        '--prefix',
+        dest='prefix',
+        type=str,
+        default='',
+        required=False,
+        help='Prefix for output plots')
+    parser.add_argument(
+        '-l',
+        '--hltlabel',
+        dest='hltlabel',
+        type=str,
+        default='',
+        required=False,
+        help='Adds label to plots (usually HLT1 or HLT2)')
+    parser.add_argument(
+        '-t',
+        '--throughput',
+        dest='throughput',
+        type=float,
+        required=False,
+        help='Adds throughput label to FlameBars')
+    args = parser.parse_args()
+
+    ## First, make a flamegraph. The intel tools provide a report that can be read in by the perl scripts making the flamegraph later
+    collect_profiling_results = ["amplxe-cl", "-R", "top-down", "-column", "CPU Time:Self,Module", "-report-out", "result.csv",
+                                 "-format", "csv", "-csv-delimiter", "comma", "-r", args.results]
+    subprocess.Popen(collect_profiling_results,stderr=subprocess.STDOUT).communicate()[0]
+    delete_first_line = ["sed", "-i", "1d", "result.csv"]
+    subprocess.Popen(delete_first_line).communicate()[0]
+
+    ## call the perl scripts from https://github.com/brendangregg/FlameGraph
+    run_stackcollapse = ["./stackcollapse-vtune.pl","result.csv"]
+    make_flamegraph = ["./flamegraph.pl", "--cp", "--title", args.hltlabel+" Flame Graph", "--minwidth","2", "--width", "1600"]
+    with open(args.prefix+'flamy.svg', 'w') as output:
+        sc_process = subprocess.Popen(run_stackcollapse, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+        subprocess.Popen(make_flamegraph, stdin=sc_process.stdout, stdout=output).communicate()[0]
+
+    ## make a csv table that shows the integrated CPU consumption of function calls
+    ## see https://software.intel.com/en-us/vtune-amplifier-help-generating-command-line-reports for documentation
+    flamebar_cmd = ["amplxe-cl", "-R", "gprof-cc", "-r", args.results, "-report-out", "gprof_output.csv", "-format", "csv", "-csv-delimiter", "comma"]
+    subprocess.Popen(flamebar_cmd,stderr=subprocess.STDOUT).communicate()[0]
+
+    ## search for the top-algorithms that consumed most of the time
+    ## they look like [22],15.79,0.0,9.559144,PrForwardTracking<LHCb::Pr::Velo::Tracks>::operator(),[ ...
+    ## where the entries are index, % CPU total, time self, time children, name, ...
+    flamebar_regex = re.compile("^\[\d+?\],(\d+?\.\d+),(\d+?\.\d+),(\d+?\.\d+).+?([a-zA-Z]+)(?:<.+?>)?::operator\(\),\[")
+    percentages, algs, times, number_of_algs = [], [], [], args.nalgs
+    with open("gprof_output.csv") as of:
+       lines = of.readlines()
+       for l in lines:
+           tmp = flamebar_regex.search(l)
+           if tmp:
+               percentages.append(float(tmp.group(1)))
+               algs.append(tmp.group(4))
+               times.append(float(tmp.group(2))+float(tmp.group(3)))
+               if len(algs) == number_of_algs: break
+    number_of_algs = len(algs)#matters if less algs then required were found
+
+    #The rest is plotting...
+    plt.rcParams["axes.xmargin"] = 0.18
+    plt.rcParams["figure.subplot.left"] = 0.3
+    plt.rcParams["figure.subplot.top"] = 0.98
+    plt.rcParams["figure.subplot.right"] = 0.99
+    plt.rcParams["font.family"] = "serif"
+    plt.rcParams["font.serif"] = "DejaVu Serif"
+    plt.rcParams["xtick.top"] = True
+    plt.rcParams["figure.figsize"] = [8., 4.5]
+    plt.interactive(False)
+    fig, ax = plt.subplots()
+    palette = plt.get_cmap('hot_r')
+    step = 1./(number_of_algs+3.)
+    y_ax = [n for n in range(number_of_algs)]
+    flames = [palette(n*step) for n in range(3,3+number_of_algs)]
+    ax.barh(y_ax,times, color=flames)
+    ax.invert_yaxis()
+    ax.set_yticklabels([""]+algs)
+    ax.set_xlabel('CPU Time [s]')
+    for i, v in enumerate(times):
+       ax.text(v+times[0]/30., i+0.1, str(percentages[i])+" %", color='black')
+    ax.text(0.55,0.2,"LHCb Upgrade simulation", transform=ax.transAxes)
+
+    # that all looks stupid, but OK...
+    if args.throughput :
+      if args.throughput>=1 and args.throughput<=1e3:
+          tp_label = args.throughput
+          tp_SI = 'k'#we multiply by 1000 because we measure on one node, whereas we will have ~1000 nodes in the farm
+      elif args.throughput>=1e3:
+          tp_label = 1.e-3*args.throughput
+          tp_SI = 'M'
+      else :
+          tp_label = args.throughput
+          tp_SI = ''
+      ax.text(0.55,0.1,"{0} Throughput Rate {1:03.1f} {2}Hz".format(args.hltlabel, tp_label,tp_SI), transform=ax.transAxes)
+    plt.savefig(args.prefix+"FlameBars.png")
+    plt.savefig(args.prefix+"FlameBars.pdf")
diff --git a/runHlt2Profile.sh b/runHlt2Profile.sh
index e91b4173..8fa26835 100755
--- a/runHlt2Profile.sh
+++ b/runHlt2Profile.sh
@@ -1,9 +1,5 @@
 #!/bin/bash
 
-./cleanup.sh
-
 python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 1000 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq -f /scratch/z5/data/Hlt2Throughput/*mdf --nonuma --forcerun -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
 
 python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 1000 --FTDecoVersion 2 -t 1 -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf --forcerun --profile $1 UpgradeHLT1FilteredMinbias
-
-
diff --git a/runProfile.sh b/runProfile.sh
index a9054289..c95332cb 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -1,7 +1,5 @@
 #!/bin/bash
 
-./cleanup.sh
-
 # it's assummed that the file below exists on the machine where the test is running
 input_file="/scratch/lhcbpr2/00067189.mdf"
 
@@ -16,6 +14,6 @@ event_slots=$(( ${threads}*6/5 ))
 echo "Number of threads: ${threads}"
 echo "Number of event slots: ${event_slots}"
 
-python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
-
 python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
+
+python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index a6137033..dcaf9c84 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -181,11 +181,24 @@ options.input_files = {inputs!r}
 
     if args.profile:
         logging.info("Launching profiler")
+        # Normally, one would wrap the executable with amplxe-cl:
+        #     amplxe-cl [...] -- ./prog
+        # However this leads to a significant drop in throughput for an unknown reason.
+        # For now we work around this by delaying starting vtune such that it only
+        # starts after initialize (the sleep) and detaches before
+        # finalize (the -d flag).
+        subprocess.Popen(["sleep", "60"]).wait()
 
         prof_cmd = [
-            os.path.join(os.path.dirname(__file__), "doprofile.sh"),
-            str(process.pid)
+            "amplxe-cl", "-collect hotspots", "-d", "60", "-target-pid=",
+            str(process.pid), "-r", "profile_out"
         ]
+        # At the end of collection the executable above does some preproscessing,
+        # which should can affect the throughput measurement. Since we profile using
+        # a single job bound to a single numa domain, we want to avoid affecting the
+        # throughput such that it is easy to compare to a fully loaded machine.
+        # For this reason, this script should be executed on a different numa domain.
+
         if profiler_numa_node is not None:
             prof_cmd = [
                 "numactl", "-N",
@@ -195,8 +208,34 @@ options.input_files = {inputs!r}
         else:
             logging.warn("Profiler not bound to a (different) numa domain. "
                          "Throughput might be affected.")
-        logging.debug("Launching job with cmd: {}".format(cmd))
-        subprocess.Popen(prof_cmd)
+        logging.debug("Launching profiling job with cmd: {}".format(prof_cmd))
+        pro_log_file = open("vtune_output.log", 'w+')
+        subprocess.Popen(
+            prof_cmd, stdout=pro_log_file, stderr=subprocess.STDOUT)
+
+        ## wait for the hijacked job to finish
+        process.wait()
+        logging.info("Making profile plots")
+        ## search for latest throughput numbers in the default log file to label the FlameBars plot
+        try:
+            parsed_throughput = 0
+            throughput_logfiles = [
+                f for f in os.listdir(".") if 'ThroughputTest' in f
+            ]
+            for f in throughput_logfiles:
+                lines = open(f, "r").readlines()
+                for line in lines[::-1]:
+                    m = re.search(r"Evts\/s = ([\d.]+)", line)
+                    if m: parsed_throughput += float(m.group(1))
+            label_command = ["-t", str(parsed_throughput)]
+        except:
+            label_command = []
+        for s in args.options:
+            hlt_label = "HLT1" if "hlt1" in s.lower() else "HLT2"
+        plotting_cmd = [
+            "./make_profile_plots.py", "-r", "profile_out", "-l", hlt_label
+        ] + label_command
+        process = subprocess.Popen(plotting_cmd)
 
     return process, log_file
 
@@ -376,6 +415,7 @@ if __name__ == '__main__':
 
     # Start all jobs
     runningJobs = []
+    logfile_prefix = "Profile" if args.profile else "ThroughputTest"
     for i_job in range(args.n_jobs):
         if not args.nonuma:
             numa_node = i_job % CPU_INFO['n_numa_nodes']
@@ -385,10 +425,9 @@ if __name__ == '__main__':
             numa_node = None
             profiler_numa_node = None
 
-        log_filename = (
-            'ThroughputTest{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}.log'.format(
-                tag, os.environ['BINARY_TAG'], args.threads, args.n_jobs,
-                args.events, i_job))
+        log_filename = ('{:s}{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}.log'.format(
+            logfile_prefix, tag, os.environ['BINARY_TAG'], args.threads,
+            args.n_jobs, args.events, i_job))
         logging.info('Launching job {}...'.format(i_job))
         runningJobs.append(
             run_gaudi_job(log_filename, job_inputs[i_job], args, numa_node,
@@ -409,21 +448,24 @@ if __name__ == '__main__':
                 ofile.seek(0)
                 for line in ofile:
                     print(line, end='')
-        # set file index to top of file
-        ofile.seek(0)
-        # read all lines from file
-        lines = ofile.readlines()
-        for line in lines[::-1]:
-            m = re.search(r"Evts\/s = ([\d.]+)", line)
-            if m:
-                throughputs.append(float(m.group(1)))
-                print("Throughput of job {} is {} Evts/s.".format(
-                    i_job, throughputs[-1]))
-                break
-        ofile.close()
-
-    print(
-        "Throughput test is finished. Overall reached Throughput is Evts/s = {}".
-        format(sum(throughputs)))
-    if n_failed_jobs:
-        exit('Some job(s) failed: check the warnings above for the retcode')
+        if not args.profile:
+            # set file index to top of file
+            ofile.seek(0)
+            # read all lines from file
+            lines = ofile.readlines()
+            for line in lines[::-1]:
+                m = re.search(r"Evts\/s = ([\d.]+)", line)
+                if m:
+                    throughputs.append(float(m.group(1)))
+                    print("Throughput of job {} is {} Evts/s.".format(
+                        i_job, throughputs[-1]))
+                    break
+            ofile.close()
+
+    if not args.profile:
+        print(
+            "Throughput test is finished. Overall reached Throughput is Evts/s = {}"
+            .format(sum(throughputs)))
+        if n_failed_jobs:
+            exit(
+                'Some job(s) failed: check the warnings above for the retcode')
diff --git a/scripts/Moore_hlt1_pp_default.sh b/scripts/Moore_hlt1_pp_default.sh
index f45d10ee..6eb34b00 100755
--- a/scripts/Moore_hlt1_pp_default.sh
+++ b/scripts/Moore_hlt1_pp_default.sh
@@ -6,6 +6,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   inputs_profile=(${inputs[@]:0:2})
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs[@]}"
 
 $(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_pp_track_mva.sh b/scripts/Moore_hlt1_pp_track_mva.sh
index 42c2bfcd..5853c4e2 100755
--- a/scripts/Moore_hlt1_pp_track_mva.sh
+++ b/scripts/Moore_hlt1_pp_track_mva.sh
@@ -6,6 +6,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   inputs_profile=(${inputs[@]:0:2})
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs[@]}"
 
 $(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index ab381e07..e1c1f613 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -6,6 +6,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   inputs_profile=(${inputs[@]:0:2})
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index 895b4cb8..a973ddc1 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -5,6 +5,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
 
 $(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index c8e04c9f..b29775cd 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -5,6 +5,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
 
 $(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
-- 
GitLab


From 2be3d4f3cf03abbcc200c1082c03898a2753992c Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 21 Nov 2019 16:47:36 +0000
Subject: [PATCH 74/96] Adding back cleanup.sh

---
 cleanup.sh                             | 12 ++++++++++++
 make_profile_plots.py                  |  2 +-
 runHlt2Profile.sh                      |  2 ++
 runProfile.sh                          |  2 ++
 scripts/Moore_hlt1_pp_default.sh       |  2 ++
 scripts/Moore_hlt1_pp_track_mva.sh     |  2 ++
 scripts/Moore_hlt1_reco_baseline.sh    |  2 ++
 scripts/Moore_hlt1_reco_ftv6.sh        |  2 ++
 scripts/Moore_hlt2_reco_baseline.sh    |  2 ++
 scripts/Moore_hlt2_reco_brunelesque.sh |  2 ++
 10 files changed, 29 insertions(+), 1 deletion(-)
 create mode 100755 cleanup.sh

diff --git a/cleanup.sh b/cleanup.sh
new file mode 100755
index 00000000..676581dd
--- /dev/null
+++ b/cleanup.sh
@@ -0,0 +1,12 @@
+#! /usr/bin/bash
+
+set -euo pipefail
+
+rm -rf profile_out
+rm -f ThroughputTest*.log
+rm -f Profile*.log
+rm *.png
+rm *.svg
+rm *.pdf
+rm gprof_output.csv
+rm result.csv
diff --git a/make_profile_plots.py b/make_profile_plots.py
index c065e210..58261d29 100755
--- a/make_profile_plots.py
+++ b/make_profile_plots.py
@@ -92,7 +92,7 @@ if __name__ == '__main__':
     ## search for the top-algorithms that consumed most of the time
     ## they look like [22],15.79,0.0,9.559144,PrForwardTracking<LHCb::Pr::Velo::Tracks>::operator(),[ ...
     ## where the entries are index, % CPU total, time self, time children, name, ...
-    flamebar_regex = re.compile("^\[\d+?\],(\d+?\.\d+),(\d+?\.\d+),(\d+?\.\d+).+?([a-zA-Z]+)(?:<.+?>)?::operator\(\),\[")
+    flamebar_regex = re.compile('^"?\[\d+?\],(\d+?\.\d+),(\d+?\.\d+),(\d+?\.\d+).+?([a-zA-Z]+)(?:<.+?>)?::operator\(\)"?,\[')
     percentages, algs, times, number_of_algs = [], [], [], args.nalgs
     with open("gprof_output.csv") as of:
        lines = of.readlines()
diff --git a/runHlt2Profile.sh b/runHlt2Profile.sh
index 8fa26835..6d5f3254 100755
--- a/runHlt2Profile.sh
+++ b/runHlt2Profile.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 1000 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq -f /scratch/z5/data/Hlt2Throughput/*mdf --nonuma --forcerun -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
 
 python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 1000 --FTDecoVersion 2 -t 1 -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf --forcerun --profile $1 UpgradeHLT1FilteredMinbias
diff --git a/runProfile.sh b/runProfile.sh
index c95332cb..9a6ad9b7 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 # it's assummed that the file below exists on the machine where the test is running
 input_file="/scratch/lhcbpr2/00067189.mdf"
 
diff --git a/scripts/Moore_hlt1_pp_default.sh b/scripts/Moore_hlt1_pp_default.sh
index 6eb34b00..471f65f5 100755
--- a/scripts/Moore_hlt1_pp_default.sh
+++ b/scripts/Moore_hlt1_pp_default.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where the files are put manually at:
   inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
diff --git a/scripts/Moore_hlt1_pp_track_mva.sh b/scripts/Moore_hlt1_pp_track_mva.sh
index 5853c4e2..2ae6940b 100755
--- a/scripts/Moore_hlt1_pp_track_mva.sh
+++ b/scripts/Moore_hlt1_pp_track_mva.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where the files are put manually at:
   inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index e1c1f613..d5c19f01 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where the files are put manually at:
   inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
index 02f1492c..7d86bd96 100755
--- a/scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/Moore_hlt1_reco_ftv6.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where the files are put manually at:
   inputs=(-f "/scratch/lhcbpr2/uncompressed_large.mdf" "/scratch/numa1/uncompressed_large.mdf")
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index a973ddc1..c5547936 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where we have more space for HLT2 input at
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index b29775cd..84baae25 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -1,5 +1,7 @@
 #!/bin/bash
 
+./cleanup.sh
+
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where we have more space for HLT2 input at
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
-- 
GitLab


From b220e913f4f15b13c5eb8c50a60002dfb41fe79f Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 21 Nov 2019 19:53:31 +0000
Subject: [PATCH 75/96] fix for throughput numbers of ftv6 tests

---
 Readme.md                       | 2 +-
 scripts/Moore_hlt1_reco_ftv6.sh | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Readme.md b/Readme.md
index 015142e4..4a6557ff 100644
--- a/Readme.md
+++ b/Readme.md
@@ -44,6 +44,6 @@ This assumes that you are in the `lhcb-benchmark-scripts` directory and your sta
 To get reliable throughput numbers, input files are copied to local storage. This copy is temporary and will be done every time a test is run. To speed up your local tests, we recommend to download the input manually and pass it to the test with the `-f` option.
 
 ### Cleaning up
-Running local tests produces some output in the current directory. If you ran the commands from the `lhcb-benchmark-scripts` directory, you can clean up all these files with `git clean`.<br> A dry run can be done with `git clean -nxd`. Running `git clean -fxd` will remove the files.
+Running local tests produces some output in the current directory. If you ran the commands from the `lhcb-benchmark-scripts` directory, you can clean up all these files with `./cleanup.sh` or `git clean`.<br> A dry run can be done with `git clean -nxd`. Running `git clean -fxd` will remove the files.
 
 Running profiling jobs will also change the `palette.map` file. These changes should not be committed and you can ignore them with `git update-index --assume-unchanged palette.map`
diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
index 7d86bd96..48b1ec5d 100755
--- a/scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/Moore_hlt1_reco_ftv6.sh
@@ -8,6 +8,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   inputs_profile=(${inputs[@]:0:2})
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}" 2>&1 | tee ThroughputTest_MaxThrough.log
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
 
 $(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
-- 
GitLab


From a0b4f6f845e1e4166d58b13e9107720209a575f6 Mon Sep 17 00:00:00 2001
From: Maciej Pawel Szymanski <maciej.szymanski@cern.ch>
Date: Mon, 25 Nov 2019 16:25:12 +0000
Subject: [PATCH 76/96] use integer division from python3

This was spotted while trying to run [ThroughputScalingHandler](https://gitlab.cern.ch/lhcb-core/LHCbPR2HD/blob/master/handlers/ThroughputScalingHandler.py) in python3. In particular, [this regex](https://gitlab.cern.ch/lhcb-core/LHCbPR2HD/blob/master/handlers/ThroughputScalingHandler.py#L42) was incorrect since  the number of jobs was float (e.g. `2.0` instead of expected `2`).
---
 plotScaling.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/plotScaling.py b/plotScaling.py
index ea715e90..de3afef5 100644
--- a/plotScaling.py
+++ b/plotScaling.py
@@ -148,7 +148,7 @@ def main():
         if max(yps) > max_throughput:
             max_throughput = max(yps)
             max_nt = nt
-            max_j  = xps[numpy.argmax(yps)]/nt
+            max_j  = xps[numpy.argmax(yps)]//nt
         plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt], alpha=.7)
 
     print("Max reached throughput {} at {} jobs with {} threads".format(max_throughput,max_j, max_nt))
-- 
GitLab


From 4247be4e14fbea7daec3ef20eb6045d49e425db8 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Tue, 26 Nov 2019 13:39:38 +0000
Subject: [PATCH 77/96] Increasing number of events for v6 throughput tests

---
 scripts/Moore_hlt1_reco_ftv6.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
index 48b1ec5d..d954b1ea 100755
--- a/scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/Moore_hlt1_reco_ftv6.sh
@@ -10,4 +10,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 1e6 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
-- 
GitLab


From 2b393cf687eeedfa17c4d6048c37bd1f26bddaaf Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Tue, 26 Nov 2019 16:49:13 +0000
Subject: [PATCH 78/96] increasing number of events for Brunel profiling jobs

---
 runProfile.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/runProfile.sh b/runProfile.sh
index 9a6ad9b7..0cdf64d8 100755
--- a/runProfile.sh
+++ b/runProfile.sh
@@ -18,4 +18,4 @@ echo "Number of event slots: ${event_slots}"
 
 python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
 
-python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 1000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
+python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 4000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
-- 
GitLab


From 678f72408f7256f029fc1f3775974d91f6d40e92 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 5 Dec 2019 09:05:12 +0000
Subject: [PATCH 79/96] Option to parse number of events for profiling jobs

---
 run_throughput_jobs.py                 | 61 ++++++++++++++++----------
 scripts/Moore_hlt1_pp_default.sh       |  2 +-
 scripts/Moore_hlt1_pp_track_mva.sh     |  2 +-
 scripts/Moore_hlt1_reco_baseline.sh    |  2 +-
 scripts/Moore_hlt1_reco_ftv6.sh        |  2 +-
 scripts/Moore_hlt2_reco_baseline.sh    |  2 +-
 scripts/Moore_hlt2_reco_brunelesque.sh |  2 +-
 7 files changed, 44 insertions(+), 29 deletions(-)

diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index dcaf9c84..73e4f273 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -142,8 +142,10 @@ def has_command(cmd):
 def run_gaudi_job(log_filename,
                   input_files,
                   args,
+                  n_events,
                   numa_node=None,
-                  profiler_numa_node=None):
+                  profiler_numa_node=None,
+                  parsed_throughput=0.):
 
     # build command line
     extra_options = """
@@ -157,7 +159,7 @@ options.set_conds_from_testfiledb({TFDBkey!r})
 options.input_type = 'MDF'
 options.input_files = {inputs!r}
 """.format(
-        n_evts=args.events,
+        n_evts=n_events,
         evt_slots=args.evtSlots,
         n_threads=args.threads,
         inputs=input_files,
@@ -216,25 +218,13 @@ options.input_files = {inputs!r}
         ## wait for the hijacked job to finish
         process.wait()
         logging.info("Making profile plots")
-        ## search for latest throughput numbers in the default log file to label the FlameBars plot
-        try:
-            parsed_throughput = 0
-            throughput_logfiles = [
-                f for f in os.listdir(".") if 'ThroughputTest' in f
-            ]
-            for f in throughput_logfiles:
-                lines = open(f, "r").readlines()
-                for line in lines[::-1]:
-                    m = re.search(r"Evts\/s = ([\d.]+)", line)
-                    if m: parsed_throughput += float(m.group(1))
-            label_command = ["-t", str(parsed_throughput)]
-        except:
-            label_command = []
         for s in args.options:
             hlt_label = "HLT1" if "hlt1" in s.lower() else "HLT2"
         plotting_cmd = [
-            "./make_profile_plots.py", "-r", "profile_out", "-l", hlt_label
-        ] + label_command
+            "./make_profile_plots.py", "-r", "profile_out", "-l", hlt_label,
+            "-t",
+            str(parsed_throughput)
+        ]
         process = subprocess.Popen(plotting_cmd)
 
     return process, log_file
@@ -304,6 +294,10 @@ if __name__ == '__main__':
         format='%(levelname)-7s %(message)s',
         level=(logging.DEBUG if args.debug else logging.INFO))
 
+    #the number of events could change for profiling jobs
+    n_events = args.events
+    throughput_for_plotlabel = 0
+
     if CPU_INFO['n_numa_nodes'] == 1:
         args.nonuma = True
     elif not args.nonuma:
@@ -322,6 +316,26 @@ if __name__ == '__main__':
             parser.error("VTune Profile only supported for single job")
         args.threads = args.threads or (
             CPU_INFO['n_logical_cpus'] // CPU_INFO['n_numa_nodes'])
+
+        #search for latest throughput numbers in the default log file to potentially set the number of events, and label the FlameBars plot
+        try:
+            parsed_throughput = 0
+            throughput_logfiles = [
+                f for f in os.listdir(".") if 'ThroughputTest' in f
+            ]
+            for f in throughput_logfiles:
+                lines = open(f, "r").readlines()
+                for line in lines[::-1]:
+                    m = re.search(r"Evts\/s = ([\d.]+)", line)
+                    if m: parsed_throughput += float(m.group(1))
+        except:
+            logging.warn(
+                "Cannot parse throughput numbers. Profiling will fail if you are running with -n=-1"
+            )
+            parsed_throughput = 0
+        #parse the number of events such that the event loop runs for 3 minutes (assumung there were 2 throughput jobs)
+        n_events = int(parsed_throughput * 90.)
+        throughput_for_plotlabel = parsed_throughput
     else:
         args.n_jobs = args.n_jobs or (1 if args.nonuma else
                                       CPU_INFO['n_numa_nodes'])
@@ -391,12 +405,12 @@ if __name__ == '__main__':
             inputs[:] = download_mdf_inputs_locally(
                 inputs,
                 args.cache_dirs[i],
-                max_size=args.events * AVERAGE_EVENT_SIZE)
+                max_size=n_events * AVERAGE_EVENT_SIZE)
         elif any(is_remote(url) for url in inputs):
             parser.error('inputs must either be all xrootd or all local')
         # recycle if needed
         sizes = [os.path.getsize(fn) for fn in inputs]
-        n_rep = int(math.ceil(args.events / (sum(sizes) / AVERAGE_EVENT_SIZE)))
+        n_rep = int(math.ceil(n_events / (sum(sizes) / AVERAGE_EVENT_SIZE)))
         if n_rep > 1:
             logging.warn(
                 'Inputs for job {} are likely too few, recycling by a factor '
@@ -427,11 +441,12 @@ if __name__ == '__main__':
 
         log_filename = ('{:s}{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}.log'.format(
             logfile_prefix, tag, os.environ['BINARY_TAG'], args.threads,
-            args.n_jobs, args.events, i_job))
+            args.n_jobs, n_events, i_job))
         logging.info('Launching job {}...'.format(i_job))
         runningJobs.append(
-            run_gaudi_job(log_filename, job_inputs[i_job], args, numa_node,
-                          profiler_numa_node))
+            run_gaudi_job(log_filename, job_inputs[i_job], args, n_events,
+                          numa_node, profiler_numa_node,
+                          throughput_for_plotlabel))
 
     # Wait for jobs to finish and collect results
     n_failed_jobs = 0
diff --git a/scripts/Moore_hlt1_pp_default.sh b/scripts/Moore_hlt1_pp_default.sh
index 471f65f5..667e035c 100755
--- a/scripts/Moore_hlt1_pp_default.sh
+++ b/scripts/Moore_hlt1_pp_default.sh
@@ -10,4 +10,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_pp_track_mva.sh b/scripts/Moore_hlt1_pp_track_mva.sh
index 2ae6940b..2b14f60a 100755
--- a/scripts/Moore_hlt1_pp_track_mva.sh
+++ b/scripts/Moore_hlt1_pp_track_mva.sh
@@ -10,4 +10,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index d5c19f01..47cda0ee 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -10,4 +10,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
index d954b1ea..df58d8cf 100755
--- a/scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/Moore_hlt1_reco_ftv6.sh
@@ -10,4 +10,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 4e6 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index c5547936..4b719322 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -9,4 +9,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index 84baae25..5f4310cf 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -9,4 +9,4 @@ fi
 
 $(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 3e4 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
-- 
GitLab


From 292374d57303134e8a82a39e8abcdec0a89cd0fb Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 5 Dec 2019 12:54:38 +0000
Subject: [PATCH 80/96] Add velo_only and prforward throughput tests, run
 hlt2_reco_brunelesque single-threaded

---
 scripts/Moore_hlt1_reco_prforward.sh   | 13 +++++++++++++
 scripts/Moore_hlt1_reco_velo_only.sh   | 13 +++++++++++++
 scripts/Moore_hlt2_reco_brunelesque.sh |  4 ++--
 3 files changed, 28 insertions(+), 2 deletions(-)
 create mode 100755 scripts/Moore_hlt1_reco_prforward.sh
 create mode 100755 scripts/Moore_hlt1_reco_velo_only.sh

diff --git a/scripts/Moore_hlt1_reco_prforward.sh b/scripts/Moore_hlt1_reco_prforward.sh
new file mode 100755
index 00000000..e0f12a6e
--- /dev/null
+++ b/scripts/Moore_hlt1_reco_prforward.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+./cleanup.sh
+
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
+  inputs_profile=(${inputs[@]:0:2})
+fi
+
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py' "${inputs[@]}"
+
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt1_reco_velo_only.sh b/scripts/Moore_hlt1_reco_velo_only.sh
new file mode 100755
index 00000000..d961d96e
--- /dev/null
+++ b/scripts/Moore_hlt1_reco_velo_only.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+./cleanup.sh
+
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
+  inputs_profile=(${inputs[@]:0:2})
+fi
+
+$(dirname $0)/../run_throughput_jobs.py -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py' "${inputs[@]}"
+
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py' "${inputs_profile[@]}"
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index 5f4310cf..3cfc0c51 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -7,6 +7,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
-- 
GitLab


From 4ed37004c945c74a040c2297b2d9a911b98c62cd Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Thu, 5 Dec 2019 12:57:04 +0000
Subject: [PATCH 81/96] Scaling tests for Moore

---
 plotScaling.py                                |  1 +
 run_scaling_jobs.py                           | 51 +++++++++++++++++++
 .../Moore_hlt1_reco_baseline_scaling_test.sh  | 11 ++++
 3 files changed, 63 insertions(+)
 create mode 100755 run_scaling_jobs.py
 create mode 100755 scripts/Moore_hlt1_reco_baseline_scaling_test.sh

diff --git a/plotScaling.py b/plotScaling.py
index ea715e90..b9562c16 100644
--- a/plotScaling.py
+++ b/plotScaling.py
@@ -160,6 +160,7 @@ def main():
     plt.xlabel('Level of parallelization (nb threads x nb jobs)')
     plt.ylabel('Events / s')
     plt.savefig('./scalingTest.png')
+    plt.savefig('./scalingTest.pdf')
 
 if __name__ == '__main__':
     sys.exit(main())
diff --git a/run_scaling_jobs.py b/run_scaling_jobs.py
new file mode 100755
index 00000000..b1312076
--- /dev/null
+++ b/run_scaling_jobs.py
@@ -0,0 +1,51 @@
+#!/usr/bin/env python
+"""Runs a various thread : job  configurations for scaling test"""
+
+import re
+import os
+import sys
+import argparse
+import subprocess
+
+DEFAULT_CONFIG=("1:2:4:50000,2:2:4:50000,4:2:4:50000,10:2:4:50000,18:2:4:100000,20:2:4:100000,22:2:4:100000,"
+                "1:8:10:200000,2:8:10:200000,3:8:10:200000,4:8:10:400000,5:8:10:400000,6:8:10:400000,"
+                "1:10:12:250000,2:10:12:250000,3:10:12:250000,"
+                "1:18:20:400000,2:18:20:400000,"
+                "1:20:24:500000,2:20:24:500000,"
+                "1:22:28:600000,2:22:24:600000")
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+
+    parser.add_argument('-c','--config', type=str, default=DEFAULT_CONFIG,
+            help='''nb of configs to run test for specified as a list:
+            "j:t:e:n,j:t:e:n,j:t:e:n,... where j=job, t=threads, e=Eventslots and n=number of events per job''')
+
+    parser.add_argument('OptsFileName', type=str, help='Option file name which defines the reconstruction sequence to run.')
+
+    parser.add_argument('--test-file-db-key', default='MiniBrunel_2018_MinBias_FTv4_MDF', help='TestFileDB key defining input files and tags.')
+
+    parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="", help='Names of input files, multiple names possible')
+
+    parser.add_argument('--cache-dirs', default=None, help='Comma separated paths to directories, one per job, where the input files will be cached (default is hostname dependent or $XDG_RUNTIME_DIR).')
+
+    args = parser.parse_args()
+
+    configs = args.config.split(',')
+    for conf in configs:
+        jobs, threads, eventslots, events = conf.split(':')
+
+        cmdLine = ['python', './run_throughput_jobs.py','--outfileTag','Scaling', '-e', eventslots, '-t', threads,
+                    '-j', jobs, '-n', events, '--test-file-db-key', args.test_file_db_key, args.OptsFileName]
+        if args.cache_dirs is not None:
+            cmdLine.append('--cache-dirs',args.cache_dirs)
+        if args.inputFileNames is not "":
+            cmdLine.append('-f', args.inputFileNames)
+
+        print("Starting config " + conf)
+        process = subprocess.Popen(cmdLine)
+        process.wait()
+
+if __name__ == '__main__':
+    sys.exit(main())
diff --git a/scripts/Moore_hlt1_reco_baseline_scaling_test.sh b/scripts/Moore_hlt1_reco_baseline_scaling_test.sh
new file mode 100755
index 00000000..eba48989
--- /dev/null
+++ b/scripts/Moore_hlt1_reco_baseline_scaling_test.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+
+./cleanup.sh
+
+if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
+  # this test runs on lbhltperf01 where the files are put manually at:
+  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
+  inputs_profile=(${inputs[@]:0:2})
+fi
+
+$(dirname $0)/../run_scaling_jobs.py '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
-- 
GitLab


From 15cf764fa61084ee3a6b6a1e4ed45c98d4b13725 Mon Sep 17 00:00:00 2001
From: mstahl <marian.stahl@cern.ch>
Date: Thu, 5 Dec 2019 13:07:42 +0100
Subject: [PATCH 82/96] Remove scripts for brunel tests

---
 RunHlt2ThroughputJobs.py   | 244 -------------------------------------
 RunThroughputJobs.py       | 203 ------------------------------
 SetupHlt2ThroughputOpts.py |  29 -----
 SetupThroughputOpts.py     |  20 ---
 doScaling.py               |  52 --------
 runHlt2Profile.sh          |   7 --
 runProfile.sh              |  21 ----
 runScaling.sh              |   6 -
 8 files changed, 582 deletions(-)
 delete mode 100755 RunHlt2ThroughputJobs.py
 delete mode 100755 RunThroughputJobs.py
 delete mode 100644 SetupHlt2ThroughputOpts.py
 delete mode 100644 SetupThroughputOpts.py
 delete mode 100644 doScaling.py
 delete mode 100755 runHlt2Profile.sh
 delete mode 100755 runProfile.sh
 delete mode 100755 runScaling.sh

diff --git a/RunHlt2ThroughputJobs.py b/RunHlt2ThroughputJobs.py
deleted file mode 100755
index 09dd185b..00000000
--- a/RunHlt2ThroughputJobs.py
+++ /dev/null
@@ -1,244 +0,0 @@
-#!/usr/bin/env python
-"""Runs a single job as configured via specified options file which is passed to SetupThroughputOpts.py """
-
-import re
-import os
-import sys
-import argparse
-import subprocess
-import csv
-
-
-def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
-    '''Run a test with the given options'''
-
-    # open log file
-    outputFile = open("{}.log".format(OutputFileName), 'w+')
-
-    # build command line
-    cmdLine = ["gaudirun.py", str(os.path.dirname(os.path.realpath(__file__))) + "/SetupHlt2ThroughputOpts.py"]
-
-    # deal with numa if needed
-    if nbNumaNodes > 1:
-        node = jobidx % nbNumaNodes
-        cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
-
-    # run the test
-    print("Launching job with cmdLine: {}".format(cmdLine))
-    process = subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT, env=modifiedEnv)
-
-    if doprofile:
-        print("Launching profiler")
-        # Normally, one would wrap the executable with amplxe-cl:
-        #     amplxe-cl [...] -- ./prog
-        # However this leads to a significant drop in throughput for an unknown reason.
-        # For now we work around this by delaying starting vtune such that it only
-        # starts after initialize (the sleep) and detaches before
-        # finalize (the -d flag).
-        subprocess.Popen(["sleep","60"]).wait()
-
-        prof_cmd = ["amplxe-cl","-collect hotspots","-d","60","-target-pid=",str(process.pid),"-r","profile_out"]
-        # At the end of collection the executable above does some preproscessing,
-        # which should can affect the throughput measurement. Since we profile using
-        # a single job bound to a single numa domain, we want to avoid affecting the
-        # throughput such that it is easy to compare to a fully loaded machine.
-        # For this reason, this script should be executed on a different numa domain.
-
-        if nbNumaNodes > 1:
-            node = (jobidx % nbNumaNodes) + 1
-            prof_cmd = ["numactl", "-N", str(node), "-m", str(node), "--"] + prof_cmd
-        else:
-            print("WARNING: Profiler not bound to a (different) numa domain. Throughput might be affected.")
-
-        pro_log_file = open("vtune_output.log", 'w+')
-        subprocess.Popen(prof_cmd,stdout=pro_log_file, stderr=subprocess.STDOUT)
-
-        ## wait for the hijacked job to finish
-        process.wait()
-        print("Making profile plots")
-        ## search for latest throughput numbers in the default log file to label the FlameBars plot
-        try:
-          parsed_throughput = 0
-          throughput_logfiles = [f for f in os.listdir(".") if 'ThroughputTest' in f]
-          for f in throughput_logfiles:
-            lines = open(f, "r").readlines()
-            for line in lines[::-1]:
-              m = re.search(r"Evts\/s = ([\d.]+)", line)
-              if m: parsed_throughput += float(m.group(1))
-          label_command = ["-t",str(parsed_throughput)]
-        except :
-            label_command = []
-
-        plotting_cmd = ["./make_profile_plots.py", "-r", "profile_out", "-l", "HLT2"]+label_command
-        process = subprocess.Popen(plotting_cmd)
-
-    return process, outputFile
-
-def getTrhoughputs(idx, tag, njobs, nevents, algs, throughputs_per_job):
-  throughputs_per_event_and_job = {}
-  for alg in algs:
-    throughputs_per_event_and_job[alg] = []
-  #hack here: the actual filename is specified in the runtime options called by SetupThroughputOpts
-  with open('./time/Timeline_{:s}.{:s}.{:d}j.{:d}e.{:d}.csv'.format(tag,os.environ['CMTCONFIG'], njobs, nevents, idx)) as ofile :
-    reader = csv.reader(ofile, delimiter=' ')
-    next(reader)
-    for l in reader:
-      if l[2] not in algs : continue
-      if int(l[5]) > 20: ## HARCODED (let 20 events run before calculating the throughput)
-        throughputs_per_event_and_job[l[2]].append(1.e-9*(int(l[1]) - int(l[0]))) ## TimelineSvc output is in nanoseconds
-    ofile.close()
-
-  for alg in algs:
-    try:
-      throughputs_per_job[alg].append(len(throughputs_per_event_and_job[alg])/sum(throughputs_per_event_and_job[alg]))
-    except:
-      print("{0} not in input algorithms. check your options".format(alg))
-  return
-
-
-def main():
-  '''Main method : parses options and calls runJob which configures and runs a single Brunel job'''
-
-  parser = argparse.ArgumentParser(description=__doc__)
-
-  parser.add_argument('-j', '--jobs', type=int, required=True,
-                      help='nb of jobs to launch')
-
-  parser.add_argument('-t', '--threads', type=int, required=True,
-                      help='nb of threads per job')
-
-  parser.add_argument('-e', '--evtSlots', type=int, default=-1,
-                      help='nb of event slots per job (default: nb of threads per job + 10%%)')
-
-  parser.add_argument('-n', '--events', default=1000, type=int,
-                      help='nb of events to process per thread (default: 1000)')
-
-  parser.add_argument('--outfileTag', type=str, default='',
-                      help="Output file name tag, name will be 'ThroughputTest_TAG_...' .(default: '')")
-
-  parser.add_argument('OptsFileName', type=str,
-                      help='Option file name which defines the reconstruction sequence to run.')
-
-  parser.add_argument('TestFileDBKey', type=str,
-                      help='TestFileDB key name which defines input files and tags.')
-
-  parser.add_argument('--FTDecoVersion', default=4, type=int,
-                      help='SciFi Decoding Version must match used input files (default: 4)')
-
-  parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="",
-                      help='Names of input files, multiple names possible')
-
-  parser.add_argument('-a','--algorithms', type=str, nargs='+', default=["Reco"],
-                      help='Names of algorithms to measure throughputs. A throughput rate is calulated for the first in the list, all others are measured relative to that')
-
-  parser.add_argument('--nonuma', action='store_true',
-                      help='whether to disable usage of numa domains.')
-
-  parser.add_argument('--profile', action='store_true',
-                      help='whether to enable vtune profiling - only supported for single job.')
-
-  parser.add_argument('--forcerun', action='store_true',
-                      help='force running jobs, even if output files already exist')
-
-  args = parser.parse_args()
-  if args.evtSlots == -1:
-      args.evtSlots = 1+int(11*args.threads/10)
-
-  if args.profile and args.jobs >1:
-      raise RuntimeError("VTune Profile only supported for single job")
-
-  try:
-      with open(os.devnull, 'w') as FNULL:
-          subprocess.check_call(['amplxe-cl', '--help'], stdout=FNULL )
-  except:
-      if args.profile:
-          raise RuntimeError("can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
-      else:
-          print("Warning: can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
-
-  try:
-      with open(os.devnull, 'w') as FNULL:
-          subprocess.check_call(['gaudirun.py', '--help'], stdout=FNULL )
-  except:
-      raise RuntimeError("can't execute gaudirun.py, please make sure that you are in a Brunel environment")
-
-  # deal with numa config
-  nbNumaNodes = 1
-  if not args.nonuma:
-      try:
-          output = subprocess.check_output(["numactl", "-show"])
-          nodeline = [line for line in output.split('\n') if line.startswith('nodebind')][0]
-          nbNumaNodes = len(nodeline.split()) - 1
-          if(nbNumaNodes != args.jobs) and not args.profile:
-              print("Warning: There are {} available numa nodes but you are launching {} jobs".format(nbNumaNodes, args.jobs))
-      except:
-          # numactl not existing
-          print 'Warning : -- numactl not found, running without setting numa nodes --'
-
-
-  # check how many threads the cpu actually has
-  cputhreads = int(subprocess.check_output(["lscpu", "-e=CPU"]).split('\n')[-2]) + 1
-
-  # check total number of threads
-  if args.jobs*args.threads > cputhreads:
-      print("CPU seems to only have {} threads but you specified {} jobs with {} threads each. This will overcommit the CPU, do you know what you are doing?".format(cputhreads, args.jobs, args.threads))
-
-  myenv = os.environ.copy()
-  myenv['NUMEVTS'] = str(args.events)
-  myenv['NUMTHREADS'] = str(args.jobs)
-  myenv['TESTDBKEY']  = args.TestFileDBKey
-  myenv['FTDECOVER']  = str(args.FTDecoVersion)
-  myenv['FILE']  = ",".join(args.inputFileNames)
-  myenv['OPTSFILE'] = args.OptsFileName
-  myenv['TAG'] = args.outfileTag
-
-  runningJobs=[]
-
-  skipjobs = False
-  for job in range(args.jobs):
-      myenv['NUMEVTSLOTS'] = str(job)
-      outputFileName = './logs/ThroughputTest_{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(args.outfileTag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
-      timeFileName = './time/Timeline_{:s}.{:s}.{:d}j.{:d}e.{:d}.csv'.format(args.outfileTag,os.environ['CMTCONFIG'], args.jobs, args.events, job)
-      if os.path.isfile(timeFileName) and not args.forcerun :
-        if job == 0:
-          print('Output files of this job already exist. Run with --forcerun to re-run job')
-          skipjobs = True
-      else :
-        if job == 0:
-          if not os.path.exists("./logs"):
-            os.mkdir("./logs")
-          if not os.path.exists("./time"):
-            os.mkdir("./time")
-        runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
-
-  # the following lines are for calculating the throughput in the old configuration framework
-  if not args.profile: #skip calculation when doing a profile
-    throughputs = {}
-    for alg in args.algorithms:
-      throughputs[alg] = []
-    if skipjobs:
-      for idx in range(args.jobs):
-        getTrhoughputs(idx,args.outfileTag,args.jobs,args.events,args.algorithms,throughputs)
-    else:
-      for idx, (job,dummyofn) in enumerate(runningJobs):
-        retcode = job.wait()
-        if retcode != 0 :
-            print("WARNING: non-zero return code from job {}".format(idx))
-        getTrhoughputs(idx,args.outfileTag,args.jobs,args.events,args.algorithms,throughputs)
-
-    #print table calculating how many percent each algorithm is taking up
-    sum_main_tp = sum(throughputs[args.algorithms[0]])
-    average_main_tp = sum_main_tp/len(throughputs[args.algorithms[0]])
-    #The following line will be picked up by the ThroughputProfileHandler
-    print("Throughput test is finished. Combined throughput for {0}: Evts/s = {1:5.2f} ( {2:5.2f} per node )".format(args.algorithms[0],sum_main_tp,average_main_tp))
-    for k, v in throughputs.iteritems():
-      if k == args.algorithms[0] : continue
-      try:
-        print("Relative consumption of {0:<24} w.r.t. {1} is {2:5.2f} %".format(k,args.algorithms[0], 100*average_main_tp/(sum(v)/len(v))))
-      except:
-        print("{0} not in input algorithms. check your options".format(k))
-  else: # a profile job
-    return runningJobs[0][0].wait()
-
-if __name__ == '__main__':
-    sys.exit(main())
diff --git a/RunThroughputJobs.py b/RunThroughputJobs.py
deleted file mode 100755
index cbccae6a..00000000
--- a/RunThroughputJobs.py
+++ /dev/null
@@ -1,203 +0,0 @@
-#!/usr/bin/env python
-"""Runs a single job as configured via specified options file which is passed to SetupThroughputOpts.py """
-
-import re
-import os
-import sys
-import argparse
-import subprocess
-
-# We specify a prefix path for the ramfs associated with the index numa domain
-numa_prefix_path = ["/scratch/lhcbpr2", "/scratch/numa1"]
-
-def runJob(OutputFileName, jobidx, nbNumaNodes, modifiedEnv, doprofile):
-    '''Run a test with the given options'''
-
-    # open log file
-    outputFile = open("{}.log".format(OutputFileName), 'w+')
-
-    # build command line
-    cmdLine = ["gaudirun.py", str(os.path.dirname(os.path.realpath(__file__))) + "/SetupThroughputOpts.py"]
-
-    # deal with numa if needed
-    if nbNumaNodes > 1:
-        node = jobidx % nbNumaNodes
-        cmdLine = ["numactl", "-N", str(node), "-m", str(node), "--"] + cmdLine
-        modifiedEnv['FILE'] = modifiedEnv['FILE'].replace("/scratch/lhcbpr2", numa_prefix_path[node])
-
-    # run the test
-    print("Launching job with cmdLine: {}".format(cmdLine))
-    process = subprocess.Popen(cmdLine, stdout=outputFile, stderr=subprocess.STDOUT, env=modifiedEnv)
-
-    if doprofile:
-        print("Launching profiler")
-        # Normally, one would wrap the executable with amplxe-cl:
-        #     amplxe-cl [...] -- ./prog
-        # However this leads to a significant drop in throughput for an unknown reason.
-        # For now we work around this by delaying starting vtune such that it only
-        # starts after initialize (the sleep) and detaches before
-        # finalize (the -d flag).
-        subprocess.Popen(["sleep","60"]).wait()
-
-        prof_cmd = ["amplxe-cl","-collect hotspots","-d","60","-target-pid=",str(process.pid),"-r","profile_out"]
-        # At the end of collection the executable above does some preproscessing,
-        # which should can affect the throughput measurement. Since we profile using
-        # a single job bound to a single numa domain, we want to avoid affecting the
-        # throughput such that it is easy to compare to a fully loaded machine.
-        # For this reason, this script should be executed on a different numa domain.
-
-        if nbNumaNodes > 1:
-            node = (jobidx % nbNumaNodes) + 1
-            prof_cmd = ["numactl", "-N", str(node), "-m", str(node), "--"] + prof_cmd
-        else:
-            print("WARNING: Profiler not bound to a (different) numa domain. Throughput might be affected.")
-
-        pro_log_file = open("vtune_output.log", 'w+')
-        subprocess.Popen(prof_cmd,stdout=pro_log_file, stderr=subprocess.STDOUT)
-
-        ## wait for the hijacked job to finish
-        process.wait()
-        print("Making profile plots")
-        ## search for latest throughput numbers in the default log file to label the FlameBars plot
-        try:
-          parsed_throughput = 0
-          throughput_logfiles = [f for f in os.listdir(".") if 'ThroughputTest' in f]
-          for f in throughput_logfiles:
-            lines = open(f, "r").readlines()
-            for line in lines[::-1]:
-              m = re.search(r"Evts\/s = ([\d.]+)", line)
-              if m: parsed_throughput += float(m.group(1))
-          label_command = ["-t",str(parsed_throughput)]
-        except :
-            label_command = []
-
-        plotting_cmd = ["./make_profile_plots.py", "-r", "profile_out", "-l", "HLT1"]+label_command
-        process = subprocess.Popen(plotting_cmd)
-
-    return process, outputFile
-
-def main():
-    '''Main method : parses options and calls runJob which configures and runs a single Brunel job'''
-
-    parser = argparse.ArgumentParser(description=__doc__)
-
-    parser.add_argument('-j', '--jobs', type=int, required=True,
-                        help='nb of jobs to launch')
-
-    parser.add_argument('-t', '--threads', type=int, required=True,
-                        help='nb of threads per job')
-
-    parser.add_argument('-e', '--evtSlots', type=int, default=-1,
-                        help='nb of event slots per job (default: nb of threads per job + 10%%)')
-
-    parser.add_argument('-n', '--events', default=1000, type=int,
-                        help='nb of events to process per thread (default: 1000)')
-
-    parser.add_argument('--outfileTag', type=str, default='',
-                        help="Output file name tag, name will be 'ThroughputTest_TAG_...' .(default: '')")
-
-    parser.add_argument('OptsFileName', type=str,
-                        help='Option file name which defines the reconstruction sequence to run.')
-
-    parser.add_argument('TestFileDBKey', type=str,
-                        help='TestFileDB key name which defines input files and tags.')
-
-    parser.add_argument('--FTDecoVersion', default=4, type=int,
-                        help='SciFi Decoding Version must match used input files (default: 4)')
-
-    parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="",
-                        help='Names of input files, multiple names possible')
-
-    parser.add_argument('--nonuma', action='store_true',
-                        help='whether to disable usage of numa domains.')
-
-    parser.add_argument('--profile', action='store_true',
-                        help='whether to enable vtune profiling - only supported for single job.')
-
-    args = parser.parse_args()
-    if args.evtSlots == -1:
-        args.evtSlots = 1+int(11*args.threads/10)
-
-    if args.profile and args.jobs >1:
-        raise RuntimeError("VTune Profile only supported for single job")
-
-    try:
-        with open(os.devnull, 'w') as FNULL:
-            subprocess.check_call(['amplxe-cl', '--help'], stdout=FNULL )
-    except:
-        if args.profile:
-            raise RuntimeError("can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
-        else:
-            print("Warning: can't execute amplxe-cl, please make sure that you have intel tools setup correctly")
-
-    try:
-        with open(os.devnull, 'w') as FNULL:
-            subprocess.check_call(['gaudirun.py', '--help'], stdout=FNULL )
-    except:
-        raise RuntimeError("can't execute gaudirun.py, please make sure that you are in a Brunel environment")
-
-    # deal with numa config
-    nbNumaNodes = 1
-    if not args.nonuma:
-        try:
-            output = subprocess.check_output(["numactl", "-show"])
-            nodeline = [line for line in output.split('\n') if line.startswith('nodebind')][0]
-            nbNumaNodes = len(nodeline.split()) - 1
-            if(nbNumaNodes != args.jobs) and not args.profile:
-                print("Warning: There are {} available numa nodes but you are launching {} jobs".format(nbNumaNodes, args.jobs))
-        except:
-            # numactl not existing
-            print 'Warning : -- numactl not found, running without setting numa nodes --'
-
-
-    # check how many threads the cpu actually has
-    cputhreads = int(subprocess.check_output(["lscpu", "-e=CPU"]).split('\n')[-2]) + 1
-
-    # check total number of threads
-    if args.jobs*args.threads > cputhreads:
-        print("CPU seems to only have {} threads but you specified {} jobs with {} threads each. This will overcommit the CPU, do you know what you are doing?".format(cputhreads, args.jobs, args.threads))
-
-    myenv = os.environ.copy()
-    myenv['NUMEVTS'] = str(args.events)
-    myenv['NUMEVTSLOTS'] = str(args.evtSlots)
-    myenv['NUMTHREADS'] = str(args.threads)
-    myenv['TESTDBKEY']  = args.TestFileDBKey
-    myenv['FTDECOVER']  = str(args.FTDecoVersion)
-    myenv['FILE']  = ",".join(args.inputFileNames)
-    myenv['OPTSFILE'] = args.OptsFileName
-
-    runningJobs=[]
-
-    logfile_prefix = "Profile" if args.profile else "ThroughputTest"
-
-    tag = ''
-    if args.outfileTag != '':
-        tag = '_' + args.outfileTag + '_'
-
-    for job in range(args.jobs):
-        outputFileName = '{:s}{:s}.{:s}.{:d}t.{:d}j.{:d}e.{:d}'.format(logfile_prefix,tag, os.environ['CMTCONFIG'], args.threads, args.jobs, args.events, job)
-        runningJobs.append(runJob(outputFileName, job, nbNumaNodes, myenv, args.profile))
-
-    throughputs = []
-    regex = re.compile("Evts\/s = ([\d.]+)")
-    for idx, (job, ofile) in enumerate(runningJobs):
-        retcode = job.wait()
-        if retcode != 0 :
-            print("WARNING: non-zero return code from job {} with output file {}".format(idx,ofile.name))
-        # set file index to top of file
-        ofile.seek(0)
-        # read all lines from file
-        lines = ofile.readlines();
-        for l in lines[::-1]:
-            tmp   = regex.search(l)
-            if tmp:
-                throughputs.append(float(tmp.group(1)))
-                print("Throughput of job {} is {} Evts/s.".format(idx,throughputs[-1]))
-                break
-
-        ofile.close()
-
-    print("Throughput test is finished. Overall reached Throughput is {} Evts/s".format(sum(throughputs)))
-
-if __name__ == '__main__':
-    sys.exit(main())
diff --git a/SetupHlt2ThroughputOpts.py b/SetupHlt2ThroughputOpts.py
deleted file mode 100644
index c0eed97f..00000000
--- a/SetupHlt2ThroughputOpts.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import os, importlib, glob
-from Gaudi.Configuration import importOptions
-
-num_events     = int(os.environ['NUMEVTS'])
-num_eventslots = int(os.environ['NUMEVTSLOTS'])
-num_threads    = int(os.environ['NUMTHREADS'])
-testDBKey      = str(os.environ['TESTDBKEY'])
-FTDecoVer      = int(os.environ['FTDECOVER'])
-if '*' in os.environ['FILE']: # glob if there is wildcard
-	filepath   = glob.glob(os.environ['FILE'])
-else:
-	filepath   = os.environ['FILE'].split(',')
-optsfile       = str(os.environ['OPTSFILE'])
-
-if '/' not in optsfile: #try to get it from environment
-  opts = importlib.import_module("upgrade_options.{}".format(optsfile))
-else: #for quick local tests
-  import sys
-  mymodule = optsfile.rsplit('/',1)
-  sys.path.insert(0,mymodule[0])
-  opts=importlib.import_module(mymodule[1])
-
-# fix for empty list coming from the env variables
-if filepath == ['']:
-    filepath = []
-
-print("###SETUPTHROUGHPUTOPTS###\nImporting {} and executing with numevents:{}, eventslots:{}, threads:{} , using TestFileDBKey {}, SciFi decoding version {}, and set files to: {}".format(optsfile,num_events,num_eventslots, num_threads, testDBKey, FTDecoVer, filepath))
-
-opts.runTest(testDBKey, num_eventslots, num_threads, num_events, FTDecoVer, filepath)
diff --git a/SetupThroughputOpts.py b/SetupThroughputOpts.py
deleted file mode 100644
index 7bc08f75..00000000
--- a/SetupThroughputOpts.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import os, importlib
-from Gaudi.Configuration import importOptions
-
-num_events     = int(os.environ['NUMEVTS'])
-num_eventslots = int(os.environ['NUMEVTSLOTS'])
-num_threads    = int(os.environ['NUMTHREADS'])
-testDBKey      = str(os.environ['TESTDBKEY'])
-FTDecoVer      = int(os.environ['FTDECOVER'])
-filepath       = os.environ['FILE'].split(',')
-optsfile       = str(os.environ['OPTSFILE'])
-
-opts=importlib.import_module("upgrade_options.{}".format(optsfile))
-
-# fix for empty list coming from the env variables
-if filepath == ['']:
-    filepath = []
-
-print("###SETUPTHROUGHPUTOPTS###\nImporting {} and executing with numevents:{}, eventslots:{}, threads:{} , using TestFileDBKey {}, SciFi decoding version {}, and set files to: {}".format(optsfile,num_events,num_eventslots, num_threads, testDBKey, FTDecoVer, filepath))
-
-opts.runTest(testDBKey, nbEventSlots=num_eventslots, threadPoolSize=num_threads, evtMax=num_events, FTDecoVersion=FTDecoVer, filepaths=filepath)
diff --git a/doScaling.py b/doScaling.py
deleted file mode 100644
index 92a26d26..00000000
--- a/doScaling.py
+++ /dev/null
@@ -1,52 +0,0 @@
-#!/usr/bin/env python
-"""Runs a various thread : job  configurations for scaling test"""
-
-import re
-import os
-import sys
-import argparse
-import subprocess
-
-DEFAULT_CONFIG=("1:2:4:50000,2:2:4:50000,4:2:4:50000,10:2:4:50000,18:2:4:100000,20:2:4:100000,22:2:4:100000,"
-                "1:8:10:200000,2:8:10:200000,3:8:10:200000,4:8:10:400000,5:8:10:400000,6:8:10:400000,"
-                "1:10:12:250000,2:10:12:250000,3:10:12:250000,"
-                "1:18:20:400000,2:18:20:400000,"
-                "1:20:24:500000,2:20:24:500000,"
-                "1:22:28:600000,2:22:24:600000")
-
-
-def main():
-    parser = argparse.ArgumentParser(description=__doc__)
-
-    parser.add_argument('-c','--config', type=str, default=DEFAULT_CONFIG,
-            help='''nb of configs to run test for specified as a list:
-            "j:t:e:n,j:t:e:n,j:t:e:n,... where j=job, t=threads, e=Eventslots and n=number of events per job''')
-
-    parser.add_argument('OptsFileName', type=str,
-                        help='Option file name which defines the reconstruction sequence to run.')
-
-    parser.add_argument('TestFileDBKey', type=str,
-                        help='TestFileDB key name which defines input files and tags.')
-
-    parser.add_argument('--FTDecoVersion', default=4, type=int,
-                        help='SciFi Decoding Version must match used input files')
-
-    parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="",
-                        help='Names of input files, multiple names possible')
-
-
-    args = parser.parse_args()
-
-    configs = args.config.split(',')
-    for conf in configs:
-        jobs, threads, eventslots, events = conf.split(':')
-
-        cmdLine = ['python', './RunThroughputJobs.py','--outfileTag','Scaling', '-e', eventslots, '-t', threads,
-                    '-j', jobs, '-n', events, args.OptsFileName, args.TestFileDBKey, '-f'] + args.inputFileNames
-
-        print("Starting config " + conf)
-        process  = subprocess.Popen(cmdLine)
-        process.wait()
-
-if __name__ == '__main__':
-    sys.exit(main())
diff --git a/runHlt2Profile.sh b/runHlt2Profile.sh
deleted file mode 100755
index 6d5f3254..00000000
--- a/runHlt2Profile.sh
+++ /dev/null
@@ -1,7 +0,0 @@
-#!/bin/bash
-
-./cleanup.sh
-
-python RunHlt2ThroughputJobs.py --outfileTag Hlt2Reco -j 40 -n 1000 --FTDecoVersion 2 -a Reco RecoTrBestSeq RecoDecodingSeq RecoTrFastSeq RecoRICHSeq RecoMUONSeq RecoCALOFUTURESeq -f /scratch/z5/data/Hlt2Throughput/*mdf --nonuma --forcerun -t1 $1 UpgradeHLT1FilteredMinbias 2>&1 | tee ThroughputTest_MaxThrough.log
-
-python RunHlt2ThroughputJobs.py --outfileTag Profile -j 1 -n 1000 --FTDecoVersion 2 -t 1 -f /scratch/z5/data/Hlt2Throughput/minbias_filtered_49.mdf --forcerun --profile $1 UpgradeHLT1FilteredMinbias
diff --git a/runProfile.sh b/runProfile.sh
deleted file mode 100755
index 0cdf64d8..00000000
--- a/runProfile.sh
+++ /dev/null
@@ -1,21 +0,0 @@
-#!/bin/bash
-
-./cleanup.sh
-
-# it's assummed that the file below exists on the machine where the test is running
-input_file="/scratch/lhcbpr2/00067189.mdf"
-
-cores_per_socket=`lscpu | grep "^Core(s) per socket:"| cut -d: -f2 | tr -d '[:space:]'`
-sockets=`lscpu | grep "^Socket(s):" | cut -d: -f2 | tr -d '[:space:]'`
-numa_nodes=`lscpu | grep "^NUMA node(s):" | cut -d: -f2 | tr -d '[:space:]'`
-threads_per_core=`lscpu | grep "^Thread(s) per core:" | cut -d: -f2 | tr -d '[:space:]'`
-sockets_per_numa=$(( ${sockets}/${numa_nodes} ))
-threads=$(( ${cores_per_socket}*${threads_per_core}*${sockets_per_numa} ))
-event_slots=$(( ${threads}*6/5 ))
-
-echo "Number of threads: ${threads}"
-echo "Number of event slots: ${event_slots}"
-
-python RunThroughputJobs.py --outfileTag MaxThrough -e ${event_slots} -t ${threads} -j 2 -n 2000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
-
-python RunThroughputJobs.py --outfileTag Profile -e ${event_slots} -t ${threads} -j 1 --profile -n 4000000 $1 MiniBrunel_2018_MinBias_FTv4_MDF -f `for i in {1..30}; do echo ${input_file}; done`
diff --git a/runScaling.sh b/runScaling.sh
deleted file mode 100755
index ef45a6b3..00000000
--- a/runScaling.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/bin/bash
-
-./cleanup.sh
-
-python doScaling.py $1 MiniBrunel_2018_MinBias_FTv4_MDF -f /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf /scratch/lhcbpr2/00067189.mdf
-
-- 
GitLab


From 78ee47d1b775f6717f32b5212fb1dd3910a4f449 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Mon, 9 Dec 2019 12:41:23 +0000
Subject: [PATCH 83/96] Fix for scaling job

---
 run_scaling_jobs.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/run_scaling_jobs.py b/run_scaling_jobs.py
index b1312076..6ca6e21e 100755
--- a/run_scaling_jobs.py
+++ b/run_scaling_jobs.py
@@ -39,9 +39,9 @@ def main():
         cmdLine = ['python', './run_throughput_jobs.py','--outfileTag','Scaling', '-e', eventslots, '-t', threads,
                     '-j', jobs, '-n', events, '--test-file-db-key', args.test_file_db_key, args.OptsFileName]
         if args.cache_dirs is not None:
-            cmdLine.append('--cache-dirs',args.cache_dirs)
+            cmdLine += ['--cache-dirs', args.cache_dirs]
         if args.inputFileNames is not "":
-            cmdLine.append('-f', args.inputFileNames)
+            cmdLine += ['-f'] + args.inputFileNames
 
         print("Starting config " + conf)
         process = subprocess.Popen(cmdLine)
-- 
GitLab


From 2027b5051caa4c92c1036d62d2e0a80b03aea6be Mon Sep 17 00:00:00 2001
From: Rosen Matev <rosen.matev@cern.ch>
Date: Thu, 9 Jan 2020 19:00:18 +0100
Subject: [PATCH 84/96] Remove exception for running on lbhltperf01

So far input files were manually put on lbhltperf.
This is problematic as on every reboot the tmpfs
mounts are empty.

The `fstab` on `lbhltperf01` has now
```
tmpfs /run/throughput/numa0 tmpfs mpol=bind:0,size=8g 0 0
tmpfs /run/throughput/numa1 tmpfs mpol=bind:1,size=8g 0 0
```
The jobs here are modified to remove the hardcoded paths,
such that they will download the inputs as needed.
---
 run_throughput_jobs.py                           |  2 +-
 scripts/Moore_hlt1_pp_default.sh                 | 10 ++--------
 scripts/Moore_hlt1_pp_track_mva.sh               | 10 ++--------
 scripts/Moore_hlt1_reco_baseline.sh              | 10 ++--------
 scripts/Moore_hlt1_reco_baseline_scaling_test.sh |  8 +-------
 scripts/Moore_hlt1_reco_ftv6.sh                  | 10 ++--------
 scripts/Moore_hlt1_reco_prforward.sh             | 10 ++--------
 scripts/Moore_hlt1_reco_velo_only.sh             | 10 ++--------
 8 files changed, 14 insertions(+), 56 deletions(-)

diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index 73e4f273..01d07b27 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -97,7 +97,7 @@ DEFAULT_CACHE_DIRS = {
         '/run/throughput/numa{}'.format(i)
         for i in range(CPU_INFO['n_numa_nodes'])
     ],
-    'lbhltperf01.cern.ch': ['/scratch/lhcbpr2', '/scratch/numa1'],
+    # if special defaults are needed, add an item with FQDN as the key
 }
 
 # prefer XDG_RUNTIME_DIR which should be on tmpfs
diff --git a/scripts/Moore_hlt1_pp_default.sh b/scripts/Moore_hlt1_pp_default.sh
index 667e035c..dc3583fa 100755
--- a/scripts/Moore_hlt1_pp_default.sh
+++ b/scripts/Moore_hlt1_pp_default.sh
@@ -2,12 +2,6 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs[@]}"
-
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
diff --git a/scripts/Moore_hlt1_pp_track_mva.sh b/scripts/Moore_hlt1_pp_track_mva.sh
index 2b14f60a..114b1872 100755
--- a/scripts/Moore_hlt1_pp_track_mva.sh
+++ b/scripts/Moore_hlt1_pp_track_mva.sh
@@ -2,12 +2,6 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs[@]}"
-
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/Moore_hlt1_reco_baseline.sh
index 47cda0ee..038a0e9c 100755
--- a/scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/Moore_hlt1_reco_baseline.sh
@@ -2,12 +2,6 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
-
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/Moore_hlt1_reco_baseline_scaling_test.sh b/scripts/Moore_hlt1_reco_baseline_scaling_test.sh
index eba48989..08b11573 100755
--- a/scripts/Moore_hlt1_reco_baseline_scaling_test.sh
+++ b/scripts/Moore_hlt1_reco_baseline_scaling_test.sh
@@ -2,10 +2,4 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
-
-$(dirname $0)/../run_scaling_jobs.py '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
+$(dirname $0)/../run_scaling_jobs.py '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/Moore_hlt1_reco_ftv6.sh
index df58d8cf..370ac9a8 100755
--- a/scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/Moore_hlt1_reco_ftv6.sh
@@ -2,12 +2,6 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/uncompressed_large.mdf" "/scratch/numa1/uncompressed_large.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs[@]}"
-
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/Moore_hlt1_reco_prforward.sh b/scripts/Moore_hlt1_reco_prforward.sh
index e0f12a6e..49cb6e86 100755
--- a/scripts/Moore_hlt1_reco_prforward.sh
+++ b/scripts/Moore_hlt1_reco_prforward.sh
@@ -2,12 +2,6 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py' "${inputs[@]}"
-
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py'
diff --git a/scripts/Moore_hlt1_reco_velo_only.sh b/scripts/Moore_hlt1_reco_velo_only.sh
index d961d96e..19a85635 100755
--- a/scripts/Moore_hlt1_reco_velo_only.sh
+++ b/scripts/Moore_hlt1_reco_velo_only.sh
@@ -2,12 +2,6 @@
 
 ./cleanup.sh
 
-if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
-  # this test runs on lbhltperf01 where the files are put manually at:
-  inputs=(-f "/scratch/lhcbpr2/00067189.mdf" "/scratch/numa1/00067189.mdf")
-  inputs_profile=(${inputs[@]:0:2})
-fi
+$(dirname $0)/../run_throughput_jobs.py -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py' "${inputs[@]}"
-
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py' "${inputs_profile[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
-- 
GitLab


From 1b8fcdfdc5bf99b95c24d8b1da014527ca4d3d2e Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Wed, 5 Feb 2020 12:55:09 +0000
Subject: [PATCH 85/96] Update Readme, Move import

---
 Readme.md              | 4 +++-
 run_throughput_jobs.py | 2 +-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/Readme.md b/Readme.md
index 4a6557ff..ead22cd3 100644
--- a/Readme.md
+++ b/Readme.md
@@ -41,7 +41,9 @@ Have a look at the current PR nightly tests for Moore, that live in `scripts`. T
 This assumes that you are in the `lhcb-benchmark-scripts` directory and your stack directory is one level above. Within the `lb-stack-setup` env, the Intel VTune tools have to be setup (`source /cvmfs/projects.cern.ch/intelsw/psxe/linux/all-setup.sh`). This is only needed if you want to run a profiling job (i.e. make a flamegraph). The rest of the command is calling the shell script in your custom built Moore environment.
 
 ### Input files
-To get reliable throughput numbers, input files are copied to local storage. This copy is temporary and will be done every time a test is run. To speed up your local tests, we recommend to download the input manually and pass it to the test with the `-f` option.
+To get reliable throughput numbers, input files are copied to *local* (not mounted) storage. This copy is temporary and will be done every time a test is run (unless the exact same file was already downloaded). To speed up your local tests, we recommend to download the input manually and pass it to the test with the `-f` option.<br>
+We ran into cornercases where input files couldn't be downloaded. If this happens, try to download it yourself to a local folder and pass this file to the `-f` option.<br>
+In some cases the IO optimizations need to be switched off. Try setting `use_iosvc=False`, `event_store="HiveWhiteBoard"` in your Moore options if you see failures from `LHCb__MDF__IOSvcMM` 
 
 ### Cleaning up
 Running local tests produces some output in the current directory. If you ran the commands from the `lhcb-benchmark-scripts` directory, you can clean up all these files with `./cleanup.sh` or `git clean`.<br> A dry run can be done with `git clean -nxd`. Running `git clean -fxd` will remove the files.
diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index 01d07b27..b5df6911 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -380,7 +380,6 @@ if __name__ == '__main__':
             args.cache_dirs))
 
     if not args.inputs:
-        from Moore.qmtest.context import download_mdf_inputs_locally
         from PRConfig.TestFileDB import test_file_db
         inputs_fns = test_file_db[args.test_file_db_key].filenames
     else:
@@ -400,6 +399,7 @@ if __name__ == '__main__':
     for i, inputs in enumerate(job_inputs):
         # download files
         if all(is_remote(url) for url in inputs):
+            from Moore.qmtest.context import download_mdf_inputs_locally
             logging.info('Downloading inputs for job {} to {}'.format(
                 i, args.cache_dirs[i]))
             inputs[:] = download_mdf_inputs_locally(
-- 
GitLab


From 2b0e511266a2f80015e1290a22f22a7769550626 Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Wed, 5 Feb 2020 14:35:33 +0000
Subject: [PATCH 86/96] bugfix if number of events has been set by user

---
 run_throughput_jobs.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index b5df6911..460b70fd 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -334,8 +334,9 @@ if __name__ == '__main__':
             )
             parsed_throughput = 0
         #parse the number of events such that the event loop runs for 3 minutes (assumung there were 2 throughput jobs)
-        n_events = int(parsed_throughput * 90.)
         throughput_for_plotlabel = parsed_throughput
+        if args.events == -1:
+            n_events = int(parsed_throughput * 90.)
     else:
         args.n_jobs = args.n_jobs or (1 if args.nonuma else
                                       CPU_INFO['n_numa_nodes'])
-- 
GitLab


From 0ca148f8e8742acd999acb89c5af3de71d0bd8bb Mon Sep 17 00:00:00 2001
From: Rosen Matev <rosen.matev@cern.ch>
Date: Thu, 27 Feb 2020 09:52:44 +0100
Subject: [PATCH 87/96] Add script for pp_comparison options

---
 scripts/Moore_hlt1_pp_comparison.sh | 7 +++++++
 1 file changed, 7 insertions(+)
 create mode 100755 scripts/Moore_hlt1_pp_comparison.sh

diff --git a/scripts/Moore_hlt1_pp_comparison.sh b/scripts/Moore_hlt1_pp_comparison.sh
new file mode 100755
index 00000000..15e69094
--- /dev/null
+++ b/scripts/Moore_hlt1_pp_comparison.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+
+./cleanup.sh
+
+$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
+
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
-- 
GitLab


From ab9290b58cd5d1bda723a5684fc96917af1de7dd Mon Sep 17 00:00:00 2001
From: Sascha Stahl <sascha.stahl@cern.ch>
Date: Mon, 23 Mar 2020 15:26:54 +0100
Subject: [PATCH 88/96] Change Hlt2 samples to a GEC filtered sample

---
 run_throughput_jobs.py                 | 6 +++---
 scripts/Moore_hlt2_reco_baseline.sh    | 4 ++--
 scripts/Moore_hlt2_reco_brunelesque.sh | 4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index 460b70fd..ffa87002 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -26,19 +26,19 @@ Examples:
 
     # HLT2 reconstruction throughput (like brunel)
     Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e4 \
-        --test-file-db-key=UpgradeHLT1FilteredMinbias \
+        --test-file-db-key=UpgradeHLT1FilteredWithGEC \
         '$MOOREROOT/options/ft_decoding_v2.py' \
         '$RECOCONFROOT/options/hlt2_reco_brunelesque.py'
 
     # HLT2 reconstruction throughput
     Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 1e4 \
-        --test-file-db-key=UpgradeHLT1FilteredMinbias \
+        --test-file-db-key=UpgradeHLT1FilteredWithGEC \
         '$MOOREROOT/options/ft_decoding_v2.py' \
         '$RECOCONFROOT/options/hlt2_reco_baseline.py'
 
     # HLT2 reconstruction throughput (many jobs)
     Moore/run lhcb-benchmark-scripts/run_throughput_jobs.py -n 250 -j 40 \
-        --test-file-db-key=UpgradeHLT1FilteredMinbias \
+        --test-file-db-key=UpgradeHLT1FilteredWithGEC \
         '$MOOREROOT/options/ft_decoding_v2.py' \
         '$RECOCONFROOT/options/hlt2_reco_baseline.py'
 
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/Moore_hlt2_reco_baseline.sh
index 4b719322..2fa40d01 100755
--- a/scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/Moore_hlt2_reco_baseline.sh
@@ -7,6 +7,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/Moore_hlt2_reco_brunelesque.sh
index 3cfc0c51..9c3dd4e2 100755
--- a/scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/Moore_hlt2_reco_brunelesque.sh
@@ -7,6 +7,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredMinbias '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
-- 
GitLab


From 1aed3b94fee31182881290a4bd8c83fdee1e2021 Mon Sep 17 00:00:00 2001
From: Andre Gunther <p.gunther@cern.ch>
Date: Tue, 24 Mar 2020 12:08:14 +0000
Subject: [PATCH 89/96] Fix regex for cases where there's a `<cycles 3>` (or
 another number) after `operator()`

---
 make_profile_plots.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/make_profile_plots.py b/make_profile_plots.py
index 58261d29..9fe59157 100755
--- a/make_profile_plots.py
+++ b/make_profile_plots.py
@@ -92,7 +92,7 @@ if __name__ == '__main__':
     ## search for the top-algorithms that consumed most of the time
     ## they look like [22],15.79,0.0,9.559144,PrForwardTracking<LHCb::Pr::Velo::Tracks>::operator(),[ ...
     ## where the entries are index, % CPU total, time self, time children, name, ...
-    flamebar_regex = re.compile('^"?\[\d+?\],(\d+?\.\d+),(\d+?\.\d+),(\d+?\.\d+).+?([a-zA-Z]+)(?:<.+?>)?::operator\(\)"?,\[')
+    flamebar_regex = re.compile('^"?\[\d+?\],(\d+?\.\d+),(\d+?\.\d+),(\d+?\.\d+).+?([a-zA-Z]+)(?:<.+?>)?::operator\(\)"?( <[a-z]+ \d+>)?,\[')
     percentages, algs, times, number_of_algs = [], [], [], args.nalgs
     with open("gprof_output.csv") as of:
        lines = of.readlines()
-- 
GitLab


From a7ce6a6ee2a86384b2e96f2a24e89d8928cc099a Mon Sep 17 00:00:00 2001
From: Marian Stahl <marian.stahl@cern.ch>
Date: Wed, 29 Apr 2020 15:40:03 +0000
Subject: [PATCH 90/96] Update Readme

---
 Readme.md | 34 +++-------------------------------
 1 file changed, 3 insertions(+), 31 deletions(-)

diff --git a/Readme.md b/Readme.md
index ead22cd3..ab40dff8 100644
--- a/Readme.md
+++ b/Readme.md
@@ -1,44 +1,16 @@
 # LHCb benchmark scripts
-This repository provides a set of scripts to benchmark (Mini)brunel and Moore.
+This repository provides a set of scripts to benchmark Moore.
 It is used to run [Performance and Regression](https://twiki.cern.ch/twiki/bin/view/LHCb/LHCbPR) (PR) tests on top of nightly builds.
 
-## Structure of the repository
-Currently, there are 3 scripts to run throughput and profiling tests.
-One for Brunel using the new scheduler (`RunThroughputJobs.py`), one for "old-fashined" Brunel (`RunHlt2ThroughputJobs.py`) and one for Moore (`run_throughput_jobs.py`).<br>
-In the close future only `run_throughput_jobs.py` will survive and all Brunel tests will be moved to Moore.
-
-All of these scripts can digest similar command line options.
-Check the help, but main things you want to know are :
-  - OptsFileName specifies the options file to be used from `Brunel/Rec/Brunel/python/upgrade_options`, only name without .py ending
-  - TestFileDBKey sets the input file one wishes to use, for actual testing please overwrite filepath to use local files see -f option.
-  - -j Defines the number of independent jobs you want to launch. Following options are per Job!
-  - -t allows to give the number of threads you want to use, for example -t 4 will use 4 threads for each job
-  - -e allows to change number of eventslots per job
-  - -n allows to change number of events per job
-  - --FTDecoVersion allows you to specify the needed decoding version for the FTDecoding
-  - --nonuma disables numa handling, if you don't know what that means, please leave it on (default).
-  - -f specify filepaths of the input files matching the TestFileDBKey
-  - --profile this will automatically use vtune to profile a single job (no multijob support) and produce a flamegraph of the result
-
-Take care when you run to use as input a file in RAMFS if you do not want to be slowed down by IO.
-
-The output of `RunThroughputJobs.py` is a set of .log files. One of each per job. They will appear in the current directory and are named after the parameters of the test.
-
-`SetupThroughputOpts.py`, `doprofile.sh`, `flamegraph.pl`, and `stackcollapse-vtune.pl` are helper scripts used internally in `RunThroughputJobs.py`, don't worry about it.
-
-`doScaling.py` is a script that enables you to easily run the `RunThroughputJobs.py` for different number of jobs,threads,eventslots, and number of events. The options are similar to the `RunThroughputJobs.py` and are also documented in `./doScaling.py --help`.
-
-`plotScaling.py` is simply executed in the base folder and looks for files matching the naming convention of the produced log files of the `doScaling.py` test and then produces a plot `scalingTest.png` which shows the throughput of each tested configuration.
-
 ## Work locally to make flamegraphs or get throughputs
 We recommend to work in the [lb-stack-setup](https://gitlab.cern.ch/rmatev/lb-stack-setup) environment.
 Once the stack is set up and built, and `lhcb-benchmark-scripts` is cloned, making flamegraphs or throughputs becomes a one-liner.
 
 Have a look at the current PR nightly tests for Moore, that live in `scripts`. These are shell scripts that just call the main `run_throughput_jobs.py` script with appropriate options. Most will run a throughput test first, and then a profiling test. You may want to (copy and) edit such a script. The script can then be executed in the runtime environment which has been previously set up like so:
 ```
-../utils/build-env bash -c 'source /cvmfs/projects.cern.ch/intelsw/psxe/linux/all-setup.sh; ../Moore/build.$BINARY_TAG/run scripts/Moore_hlt1_reco_baseline.sh'
+../utils/build-env bash -c 'source /cvmfs/projects.cern.ch/intelsw/psxe/linux/19-all-setup.sh; ../Moore/build.$BINARY_TAG/run scripts/Moore_hlt1_reco_baseline.sh'
 ```
-This assumes that you are in the `lhcb-benchmark-scripts` directory and your stack directory is one level above. Within the `lb-stack-setup` env, the Intel VTune tools have to be setup (`source /cvmfs/projects.cern.ch/intelsw/psxe/linux/all-setup.sh`). This is only needed if you want to run a profiling job (i.e. make a flamegraph). The rest of the command is calling the shell script in your custom built Moore environment.
+This assumes that you are in the `lhcb-benchmark-scripts` directory and your stack directory is one level above. Within the `lb-stack-setup` env, the Intel VTune tools have to be setup (`source /cvmfs/projects.cern.ch/intelsw/psxe/linux/19-all-setup.sh`). This is only needed if you want to run a profiling job (i.e. make a flamegraph). The rest of the command is calling the shell script in your custom built Moore environment.
 
 ### Input files
 To get reliable throughput numbers, input files are copied to *local* (not mounted) storage. This copy is temporary and will be done every time a test is run (unless the exact same file was already downloaded). To speed up your local tests, we recommend to download the input manually and pass it to the test with the `-f` option.<br>
-- 
GitLab


From 74af490a765bcdc9b426a3cd82f6091f003f3fc8 Mon Sep 17 00:00:00 2001
From: Louis Henry <louis.henry@cern.ch>
Date: Mon, 4 May 2020 13:47:30 +0000
Subject: [PATCH 91/96] Change creation of FlameBars to be based on parsing of
 log file.

---
 OtherScripts/hivetimeline.py | 293 +++++++++++++++++++----------------
 cleanup.sh                   |   1 -
 make_profile_plots.py        | 221 ++++++++++++++------------
 plotScaling.py               |  99 ++++++++----
 readTimingTable.py           | 186 ++++++++++++++++++++++
 run_scaling_jobs.py          |  62 ++++++--
 run_throughput_jobs.py       |   9 +-
 7 files changed, 583 insertions(+), 288 deletions(-)
 create mode 100644 readTimingTable.py

diff --git a/OtherScripts/hivetimeline.py b/OtherScripts/hivetimeline.py
index 5ac87bd6..1e724312 100644
--- a/OtherScripts/hivetimeline.py
+++ b/OtherScripts/hivetimeline.py
@@ -13,162 +13,185 @@ from collections import defaultdict
 algcolors = []
 evtcolors = []
 
+
 # Attributes will be added in read()
 class Data:
-   pass
-
-excludedSeqs = [ 'BrunelSequencer', 'ParallelSeq', 'FilterSeq', 'RecoDecodingSeq', 'RecoTrFastSeq', 'Reco', 'PhysicsSeq', 'Output' ]
-
-def read(f,regex='.*'):
-   data = []
-   regex = re.compile(regex)
-   for l in open(f,'r'):
-      if l.startswith('#'):  # e.g. #start end algorithm thread slot event
-         names = l.lstrip('#').split()   
-         continue
-      d = Data()
-      for i,f in enumerate(l.split()):
-         setattr(d, names[i], int(f) if f.isdigit() else f)
-      if d.algorithm not in excludedSeqs:
+    pass
+
+
+excludedSeqs = [
+    'BrunelSequencer', 'ParallelSeq', 'FilterSeq', 'RecoDecodingSeq',
+    'RecoTrFastSeq', 'Reco', 'PhysicsSeq', 'Output'
+]
+
+
+def read(f, regex='.*'):
+    data = []
+    regex = re.compile(regex)
+    for l in open(f, 'r'):
+        if l.startswith('#'):  # e.g. #start end algorithm thread slot event
+            names = l.lstrip('#').split()
+            continue
+        d = Data()
+        for i, f in enumerate(l.split()):
+            setattr(d, names[i], int(f) if f.isdigit() else f)
+        if d.algorithm not in excludedSeqs:
             data.append(d)
-   return data
+    return data
+
 
 def findEvents(data):
-   """Find event start/stop times"""
+    """Find event start/stop times"""
+
+    t = defaultdict(lambda: [sys.maxint, 0])  # start,stop
+    for d in data:
+        if d.start < t[d.event][0]: t[d.event][0] = d.start
+        if d.end > t[d.event][1]: t[d.event][1] = d.end
 
-   t = defaultdict(lambda : [sys.maxint, 0])  # start,stop
-   for d in data:
-      if d.start<t[d.event][0]: t[d.event][0] = d.start
-      if d.end>t[d.event][1]: t[d.event][1] = d.end
-      
-   return t
+    return t
 
 
 def setPalette(nevts):
-   global algcolors, evtcolors
-   
-   from ROOT import TColor
-   algcolors = range(2,10)+[20,28,29,30,33,38,40]+range(41,50)
-   evtcolors = [TColor.GetColor(g,g,g) for g in range(20,255,(255-20)/nevts)]
+    global algcolors, evtcolors
+
+    from ROOT import TColor
+    algcolors = range(2, 10) + [20, 28, 29, 30, 33, 38, 40] + range(41, 50)
+    evtcolors = [
+        TColor.GetColor(g, g, g) for g in range(20, 255, (255 - 20) / nevts)
+    ]
 
 
 def plot(data, showThreads=True, batch=False):
-   import ROOT
-
-   tmin = min(f.start for f in data)
-   tmax = max(f.end for f in data)
-   slots = 1+max(f.slot for f in data)
-   threads = sorted(list(set(f.thread for f in data)))
-   threadid = dict((k,v) for v,k in enumerate(threads))  # map thread : id   
-   ymax = len(threads) if showThreads else slots
-   
-   c = ROOT.TCanvas('timeline','Timeline',1200,500)
-   c.SetLeftMargin(0.05)
-   c.SetRightMargin(0.2)
-   c.SetTopMargin(0.1)
-   c.coord = ROOT.TH2I('coord',';Time',100,0,tmax-tmin,ymax,0,ymax)
-   c.coord.GetYaxis().SetTitle(('Thread' if showThreads else 'Slot'))
-   c.coord.GetYaxis().SetTitleOffset(0.6)
-   c.coord.SetStats(False)
-   c.coord.GetYaxis().SetNdivisions(ymax)
-   
-   c.Draw()
-   c.coord.Draw()
-
-   c.lines = []
-   colors = {}
-   setPalette(ymax)
-   mycolors = algcolors 
-   for d in data:
-      y = (threadid[d.thread] if showThreads else d.slot) + 0.4
-      alg = d.algorithm
-      if not alg in colors and len(mycolors)>0:         
-         colors[alg] = mycolors.pop(0)
-         if len(mycolors)==0:
-            print "Too many algorithm to show"
-
-      if alg in colors:
-         # Alg
-         l = ROOT.TLine(d.start-tmin,y,d.end-tmin,y)         
-         l.SetLineColor(colors[alg])
-         l.SetLineWidth(30)
-
-         # Event
-         l2 = ROOT.TLine(d.start-tmin,y+0.3,d.end-tmin,y+0.3)
-         l2.SetLineColor(evtcolors[d.event % ymax])
-         l2.SetLineWidth(10)
-         c.lines += [l,l2]
-
-         l2.Draw()
-         l.Draw()
-
-   # Gloabl event timeline
-   tevt = findEvents(data)
-   for k,v in tevt.iteritems():
-      m = k % ymax # event modulo
-      y = ymax+0.06*m+0.05
-      l = ROOT.TLine(v[0]-tmin,y,v[1]-tmin,y)
-      l.SetLineColor(evtcolors[m])
-      l.SetLineWidth(5)
-      c.lines += [l]
-      l.Draw()
-      
-   # Alg legend
-   c.leg = ROOT.TLegend(0.8,0.4,0.98,0.9)
-   for alg,cl in sorted(colors.iteritems(),key=operator.itemgetter(1)):
-      e = c.leg.AddEntry('',alg,'F')
-      e.SetLineColor(cl)
-      e.SetFillColor(cl)
-      e.SetFillStyle(1001)
-
-   # Event legend
-   for cl in range(ymax):
-      l = ROOT.TLine()
-      c.lines.append(l)
-      l.SetLineWidth(10)
-      l.SetLineColor(evtcolors[cl])
-      l.DrawLineNDC(0.807+0.02*cl,0.37,0.807+0.02*(cl+1),0.37)
-
-   c.t1 = ROOT.TText(0.807,0.314,'Events')
-   c.t1.SetNDC()
-   c.t1.SetTextFont(42)
-   c.t1.SetTextSize(0.04)
-   c.t1.Draw()
-
-   ROOT.TLine()
-   c.leg.Draw()
-   c.Update()
-   if not batch: raw_input()
-   return c
+    import ROOT
+
+    tmin = min(f.start for f in data)
+    tmax = max(f.end for f in data)
+    slots = 1 + max(f.slot for f in data)
+    threads = sorted(list(set(f.thread for f in data)))
+    threadid = dict((k, v) for v, k in enumerate(threads))  # map thread : id
+    ymax = len(threads) if showThreads else slots
+
+    c = ROOT.TCanvas('timeline', 'Timeline', 1200, 500)
+    c.SetLeftMargin(0.05)
+    c.SetRightMargin(0.2)
+    c.SetTopMargin(0.1)
+    c.coord = ROOT.TH2I('coord', ';Time', 100, 0, tmax - tmin, ymax, 0, ymax)
+    c.coord.GetYaxis().SetTitle(('Thread' if showThreads else 'Slot'))
+    c.coord.GetYaxis().SetTitleOffset(0.6)
+    c.coord.SetStats(False)
+    c.coord.GetYaxis().SetNdivisions(ymax)
+
+    c.Draw()
+    c.coord.Draw()
+
+    c.lines = []
+    colors = {}
+    setPalette(ymax)
+    mycolors = algcolors
+    for d in data:
+        y = (threadid[d.thread] if showThreads else d.slot) + 0.4
+        alg = d.algorithm
+        if not alg in colors and len(mycolors) > 0:
+            colors[alg] = mycolors.pop(0)
+            if len(mycolors) == 0:
+                print "Too many algorithm to show"
+
+        if alg in colors:
+            # Alg
+            l = ROOT.TLine(d.start - tmin, y, d.end - tmin, y)
+            l.SetLineColor(colors[alg])
+            l.SetLineWidth(30)
+
+            # Event
+            l2 = ROOT.TLine(d.start - tmin, y + 0.3, d.end - tmin, y + 0.3)
+            l2.SetLineColor(evtcolors[d.event % ymax])
+            l2.SetLineWidth(10)
+            c.lines += [l, l2]
+
+            l2.Draw()
+            l.Draw()
+
+    # Gloabl event timeline
+    tevt = findEvents(data)
+    for k, v in tevt.iteritems():
+        m = k % ymax  # event modulo
+        y = ymax + 0.06 * m + 0.05
+        l = ROOT.TLine(v[0] - tmin, y, v[1] - tmin, y)
+        l.SetLineColor(evtcolors[m])
+        l.SetLineWidth(5)
+        c.lines += [l]
+        l.Draw()
+
+    # Alg legend
+    c.leg = ROOT.TLegend(0.8, 0.4, 0.98, 0.9)
+    for alg, cl in sorted(colors.iteritems(), key=operator.itemgetter(1)):
+        e = c.leg.AddEntry('', alg, 'F')
+        e.SetLineColor(cl)
+        e.SetFillColor(cl)
+        e.SetFillStyle(1001)
+
+    # Event legend
+    for cl in range(ymax):
+        l = ROOT.TLine()
+        c.lines.append(l)
+        l.SetLineWidth(10)
+        l.SetLineColor(evtcolors[cl])
+        l.DrawLineNDC(0.807 + 0.02 * cl, 0.37, 0.807 + 0.02 * (cl + 1), 0.37)
+
+    c.t1 = ROOT.TText(0.807, 0.314, 'Events')
+    c.t1.SetNDC()
+    c.t1.SetTextFont(42)
+    c.t1.SetTextSize(0.04)
+    c.t1.Draw()
+
+    ROOT.TLine()
+    c.leg.Draw()
+    c.Update()
+    if not batch: raw_input()
+    return c
 
 
 def main():
-   parser = argparse.ArgumentParser(description=__doc__)
+    parser = argparse.ArgumentParser(description=__doc__)
+
+    parser.add_argument('timeline', nargs=1, help='timeline file')
+
+    parser.add_argument(
+        '-s',
+        '--select',
+        default='.*',
+        help='Regular expression to filter algorithms')
 
-   parser.add_argument('timeline', nargs=1,
-                       help='timeline file')
+    parser.add_argument(
+        '-b',
+        '--batch',
+        action='store_true',
+        default=False,
+        help='Do not wait for user input')
 
-   parser.add_argument('-s', '--select', default='.*',
-                       help='Regular expression to filter algorithms')
+    parser.add_argument(
+        '--slots',
+        action='store_true',
+        default=False,
+        help='Show slots instead of threads (leads to overlaps!)')
 
-   parser.add_argument('-b', '--batch', action='store_true', default=False,
-                       help='Do not wait for user input')
+    parser.add_argument(
+        '-p',
+        '--print',
+        dest='outfile',
+        nargs='?',
+        const='timeline.png',
+        help='Save to FILE [%(const)s]')
 
-   parser.add_argument('--slots', action='store_true', default=False,
-                       help='Show slots instead of threads (leads to overlaps!)')
+    args = parser.parse_args()
 
-   parser.add_argument('-p', '--print', dest='outfile' , nargs='?', 
-                       const='timeline.png',
-                       help='Save to FILE [%(const)s]')
+    data = read(args.timeline[0], args.select)
+    c = plot(data, not args.slots, args.batch)
+    if args.outfile:
+        c.SaveAs(args.outfile)
 
-   args = parser.parse_args()
+    return 0
 
-   data = read(args.timeline[0], args.select)
-   c = plot(data, not args.slots, args.batch)
-   if args.outfile:
-      c.SaveAs(args.outfile)
-   
-   return 0
 
 if __name__ == '__main__':
-   sys.exit(main())
+    sys.exit(main())
diff --git a/cleanup.sh b/cleanup.sh
index 676581dd..cfefbb8d 100755
--- a/cleanup.sh
+++ b/cleanup.sh
@@ -8,5 +8,4 @@ rm -f Profile*.log
 rm *.png
 rm *.svg
 rm *.pdf
-rm gprof_output.csv
 rm result.csv
diff --git a/make_profile_plots.py b/make_profile_plots.py
index 9fe59157..9a007b13 100755
--- a/make_profile_plots.py
+++ b/make_profile_plots.py
@@ -10,24 +10,127 @@
 # or submit itself to any jurisdiction.                                       #
 ###############################################################################
 """
-Make flamegraph and "FlameBars" from vtune profiling output
+Make flamegraph from vtune profiling output and "FlameBars" from timing table in log file.
 
 Example:
-    #if vtune profiling output has been dumped to the `profile_out` directory, run:
-    make_profile_plots.py -r profile_out
-    #with all options:
-    make_profile_plots.py -r profile_out -n 8 -p hlt2_baseline_ -l HLT2 -t 180000
+    Assuming a vtune output directory in profile_out and a job log named Profile.log from a HLT1 job,
+    you can run:
+    make_profile_plots.py -r profile_out -l 'HLT1' --logs Profile.log
 """
 
-
 import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
+import numpy as np
 import subprocess
-import re
 import os
 import argparse
 
+DIR = os.path.dirname(os.path.abspath(__file__))
+STACK_COLLAPSE_SCRIPT = os.path.join(DIR, "stackcollapse-vtune.pl")
+FLAME_GRAPH_SCRIPT = os.path.join(DIR, "flamegraph.pl")
+
+
+def main(results_dir, listOfLogs, hltlabel, throughput):
+
+    # First, make a flamegraph. The intel tools provide a report that can be read in by the perl scripts making the flamegraph later
+    collect_profiling_results = [
+        "amplxe-cl", "-R", "top-down", "-column", "CPU Time:Self,Module",
+        "-report-out", "result.csv", "-format", "csv", "-csv-delimiter",
+        "comma", "-r", results_dir
+    ]
+    try:
+        subprocess.check_call(
+            collect_profiling_results, stderr=subprocess.STDOUT)
+    except:
+        print(
+            "Couldn't process vtune output directory. Please make sure the provided directory exists and amplxe-cl is in your PATH"
+        )
+        print("Arguments passed to the subprocess call were {}".format(
+            collect_profiling_results))
+        exit()
+
+    subprocess.check_call(["sed", "-i", "1d", "result.csv"])
+
+    # call the perl scripts from https://github.com/brendangregg/FlameGraph
+    run_stackcollapse = [STACK_COLLAPSE_SCRIPT, "result.csv"]
+    make_flamegraph = [
+        FLAME_GRAPH_SCRIPT, "--cp", "--title", hltlabel + " Flame Graph",
+        "--minwidth", "2", "--width", "1600"
+    ]
+    with open('flamy.svg', 'w') as output:
+        sc_process = subprocess.Popen(
+            run_stackcollapse, stdout=subprocess.PIPE)
+        subprocess.check_call(
+            make_flamegraph, stdin=sc_process.stdout, stdout=output)
+
+    ## reads the text logs and extracts timing shares of different steps of the algorithm
+    import readTimingTable
+    timingTable = readTimingTable.readTimings(hltlabel, listOfLogs)
+
+    # last entry in the sorted list will always be the total time so let's remove that one
+    sortedList = [
+        elem for elem in sorted(timingTable.items(), key=lambda item: item[1])
+        if not (elem[0] == 'Total' or elem[1] < 0.1)
+    ]
+
+    # spread colors out over the hot_r colormap +1 makes sure last color isn't white
+    colors = matplotlib.cm.hot_r(np.linspace(0., 1., len(sortedList) + 1))
+    fig, ax = plt.subplots(figsize=(15, 10))
+
+    pos = np.arange(len(sortedList)) + .5
+    plt.barh(
+        pos, [elem[1] for elem in sortedList], align='center', color=colors)
+    plt.yticks(pos, [elem[0] for elem in sortedList], fontsize=18)
+    plt.xticks(fontsize=18)
+
+    #Add values to bars
+    for i, elem in enumerate(sortedList):
+        plt.text(
+            elem[1],
+            i + .5,
+            '{0:.2f} '.format(elem[1]),
+            va='center',
+            color='black',
+            fontweight='bold',
+            fontsize=14)
+
+    # make sure there is enough room to the right of the largest bar for the text
+    plt.xlim(0, sortedList[-1][1] + 5)
+    plt.xlabel(
+        "Timing fraction within the " + hltlabel + " sequence [%]",
+        fontsize=18)
+
+    throughput_text = ''
+    if throughput:
+        if throughput >= 1e3:
+            throughput = 1.e-3 * throughput
+            tp_SI = 'k'
+        else:
+            tp_SI = ''
+
+        throughput_text = r"{0} Throughput Rate {1:03.1f} {2}Hz".format(
+            hltlabel, throughput, tp_SI)
+
+    #Add LHCbSimulation & throughput text
+    textStr = '\n'.join(("LHCb Simulation", '', throughput_text))
+    ax.text(
+        0.99,
+        0.20,
+        textStr,
+        transform=ax.transAxes,
+        fontsize=24,
+        verticalalignment='top',
+        horizontalalignment="right",
+        bbox={
+            'facecolor': 'white',
+            'edgecolor': 'none'
+        })
+
+    plt.savefig("FlameBars.png")
+    plt.savefig("FlameBars.pdf", bbox_inches='tight')
+
+
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
     parser.add_argument(
@@ -39,106 +142,30 @@ if __name__ == '__main__':
         required=True,
         help='vtune result directory')
     parser.add_argument(
-        '-n',
-        '--nalgs',
-        dest='nalgs',
-        type=int,
-        default=8,
-        help='number of algorithms for FlameBars')
-    parser.add_argument(
-        '-p',
-        '--prefix',
-        dest='prefix',
+        '--logs',
+        dest='logs',
         type=str,
-        default='',
-        required=False,
-        help='Prefix for output plots')
+        default=None,
+        required=True,
+        nargs='+',
+        help='List of log files')
     parser.add_argument(
         '-l',
         '--hltlabel',
         dest='hltlabel',
         type=str,
-        default='',
-        required=False,
-        help='Adds label to plots (usually HLT1 or HLT2)')
+        required=True,
+        choices=['HLT1', 'HLT2'],
+        help=
+        'Pick HLT configuration for plot labels and checking of algorithms in log file)'
+    )
     parser.add_argument(
         '-t',
         '--throughput',
         dest='throughput',
         type=float,
         required=False,
-        help='Adds throughput label to FlameBars')
-    args = parser.parse_args()
+        help='Events/s throughput number to be added as label to FlameBars')
 
-    ## First, make a flamegraph. The intel tools provide a report that can be read in by the perl scripts making the flamegraph later
-    collect_profiling_results = ["amplxe-cl", "-R", "top-down", "-column", "CPU Time:Self,Module", "-report-out", "result.csv",
-                                 "-format", "csv", "-csv-delimiter", "comma", "-r", args.results]
-    subprocess.Popen(collect_profiling_results,stderr=subprocess.STDOUT).communicate()[0]
-    delete_first_line = ["sed", "-i", "1d", "result.csv"]
-    subprocess.Popen(delete_first_line).communicate()[0]
-
-    ## call the perl scripts from https://github.com/brendangregg/FlameGraph
-    run_stackcollapse = ["./stackcollapse-vtune.pl","result.csv"]
-    make_flamegraph = ["./flamegraph.pl", "--cp", "--title", args.hltlabel+" Flame Graph", "--minwidth","2", "--width", "1600"]
-    with open(args.prefix+'flamy.svg', 'w') as output:
-        sc_process = subprocess.Popen(run_stackcollapse, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-        subprocess.Popen(make_flamegraph, stdin=sc_process.stdout, stdout=output).communicate()[0]
-
-    ## make a csv table that shows the integrated CPU consumption of function calls
-    ## see https://software.intel.com/en-us/vtune-amplifier-help-generating-command-line-reports for documentation
-    flamebar_cmd = ["amplxe-cl", "-R", "gprof-cc", "-r", args.results, "-report-out", "gprof_output.csv", "-format", "csv", "-csv-delimiter", "comma"]
-    subprocess.Popen(flamebar_cmd,stderr=subprocess.STDOUT).communicate()[0]
-
-    ## search for the top-algorithms that consumed most of the time
-    ## they look like [22],15.79,0.0,9.559144,PrForwardTracking<LHCb::Pr::Velo::Tracks>::operator(),[ ...
-    ## where the entries are index, % CPU total, time self, time children, name, ...
-    flamebar_regex = re.compile('^"?\[\d+?\],(\d+?\.\d+),(\d+?\.\d+),(\d+?\.\d+).+?([a-zA-Z]+)(?:<.+?>)?::operator\(\)"?( <[a-z]+ \d+>)?,\[')
-    percentages, algs, times, number_of_algs = [], [], [], args.nalgs
-    with open("gprof_output.csv") as of:
-       lines = of.readlines()
-       for l in lines:
-           tmp = flamebar_regex.search(l)
-           if tmp:
-               percentages.append(float(tmp.group(1)))
-               algs.append(tmp.group(4))
-               times.append(float(tmp.group(2))+float(tmp.group(3)))
-               if len(algs) == number_of_algs: break
-    number_of_algs = len(algs)#matters if less algs then required were found
-
-    #The rest is plotting...
-    plt.rcParams["axes.xmargin"] = 0.18
-    plt.rcParams["figure.subplot.left"] = 0.3
-    plt.rcParams["figure.subplot.top"] = 0.98
-    plt.rcParams["figure.subplot.right"] = 0.99
-    plt.rcParams["font.family"] = "serif"
-    plt.rcParams["font.serif"] = "DejaVu Serif"
-    plt.rcParams["xtick.top"] = True
-    plt.rcParams["figure.figsize"] = [8., 4.5]
-    plt.interactive(False)
-    fig, ax = plt.subplots()
-    palette = plt.get_cmap('hot_r')
-    step = 1./(number_of_algs+3.)
-    y_ax = [n for n in range(number_of_algs)]
-    flames = [palette(n*step) for n in range(3,3+number_of_algs)]
-    ax.barh(y_ax,times, color=flames)
-    ax.invert_yaxis()
-    ax.set_yticklabels([""]+algs)
-    ax.set_xlabel('CPU Time [s]')
-    for i, v in enumerate(times):
-       ax.text(v+times[0]/30., i+0.1, str(percentages[i])+" %", color='black')
-    ax.text(0.55,0.2,"LHCb Upgrade simulation", transform=ax.transAxes)
-
-    # that all looks stupid, but OK...
-    if args.throughput :
-      if args.throughput>=1 and args.throughput<=1e3:
-          tp_label = args.throughput
-          tp_SI = 'k'#we multiply by 1000 because we measure on one node, whereas we will have ~1000 nodes in the farm
-      elif args.throughput>=1e3:
-          tp_label = 1.e-3*args.throughput
-          tp_SI = 'M'
-      else :
-          tp_label = args.throughput
-          tp_SI = ''
-      ax.text(0.55,0.1,"{0} Throughput Rate {1:03.1f} {2}Hz".format(args.hltlabel, tp_label,tp_SI), transform=ax.transAxes)
-    plt.savefig(args.prefix+"FlameBars.png")
-    plt.savefig(args.prefix+"FlameBars.pdf")
+    args = parser.parse_args()
+    main(args.results, args.logs, args.hltlabel, args.throughput)
diff --git a/plotScaling.py b/plotScaling.py
index 2d75afdc..ca9151f9 100644
--- a/plotScaling.py
+++ b/plotScaling.py
@@ -9,12 +9,14 @@ import matplotlib.pyplot as plt
 import matplotlib.cm as cm
 import matplotlib.patches as patches
 
+
 def linExtrapolate(p1, p2, x):
     '''given 2 points in x,y format and an x in between,
        returns the linear extrapolation of the corresponding y value'''
     dx = p2[0] - p1[0]
     dy = p2[1] - p1[1]
-    return p1[1] + dy/dx*(x-p1[0])
+    return p1[1] + dy / dx * (x - p1[0])
+
 
 def extrapolate(points, x):
     '''Given a set of points in (x,y) format, ordered in x,
@@ -26,7 +28,8 @@ def extrapolate(points, x):
         n = 0
         while x > points[n][0]:
             n += 1
-        return linExtrapolate(points[n-1], points[n], x)
+        return linExtrapolate(points[n - 1], points[n], x)
+
 
 def extrapolatePoints(points, xs):
     '''points must be a set of points in (x,y) format ordered by x
@@ -42,34 +45,36 @@ def extrapolatePoints(points, xs):
             res.append(extrapolate(points, x))
     return res
 
+
 def smoothEnvelop(xs, ys):
     '''Smoothes an anvelop by removing points where
        the value is too far from the linear extrapolation of the neighbours
        Note that input points are given in 2 vectors of x and y
        that must have the same len and xs must be sorted and with
        no redundancy. The ys list will be modified situ'''
-    for n in range(1, len(xs)-1):
+    for n in range(1, len(xs) - 1):
         # if going up, we keep the point
-        if ys[n] > ys[n-1]:
+        if ys[n] > ys[n - 1]:
             continue
         # compute extrapolation of previous and next point
-        d2x = xs[n+1]-xs[n-1]
-        d2y = ys[n+1]-ys[n-1]
-        dx = xs[n]-xs[n-1]
-        yexp = ys[n-1] + d2y/d2x*dx
-        if (ys[n]-yexp)/abs(d2y) < -0.4:
+        d2x = xs[n + 1] - xs[n - 1]
+        d2y = ys[n + 1] - ys[n - 1]
+        dx = xs[n] - xs[n - 1]
+        yexp = ys[n - 1] + d2y / d2x * dx
+        if (ys[n] - yexp) / abs(d2y) < -0.4:
             ys[n] = yexp
 
+
 def getEnvelop(points):
     '''Computing top envelop of a scattered distribution
        points must be a list of couples x,y
        output is a pair : sorted lists of xs, sorted list of ys
        drawing the top envelop'''
-    xSet = sorted(list(set([x for (x,y) in points])))
+    xSet = sorted(list(set([x for (x, y) in points])))
     # compute first naive envelop
-    minY = min([y for (x,y) in points])
-    top = {x:minY for x in xSet}
-    for x,y in points:
+    minY = min([y for (x, y) in points])
+    top = {x: minY for x in xSet}
+    for x, y in points:
         if y > top[x]:
             top[x] = y
     xtop, ytop = map(list, zip(*sorted(top.items())))
@@ -81,12 +86,18 @@ def getEnvelop(points):
 
 def main():
     parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument('--directory', default='./', type=str,
-                        help='Directory containing input files')
-
-    args  = parser.parse_args()
-
-    files = [os.path.join(args.directory,f) for f in os.listdir(args.directory) if 'ThroughputTest_Scaling_' in f]
+    parser.add_argument(
+        '--directory',
+        default='./',
+        type=str,
+        help='Directory containing input files')
+
+    args = parser.parse_args()
+
+    files = [
+        os.path.join(args.directory, f) for f in os.listdir(args.directory)
+        if 'ThroughputTest_Scaling_' in f
+    ]
     regex = re.compile("Evts\/s = ([\d.]+)")
 
     content = {}
@@ -99,11 +110,11 @@ def main():
             j = int(tmp[3][:-1])
             e = int(tmp[4][:-1])
             i = int(tmp[5])
-            key = (t,j,e)
+            key = (t, j, e)
             lines = of.readlines()
 
             for l in lines[::-1]:
-                tmp   = regex.search(l)
+                tmp = regex.search(l)
                 if tmp:
                     if key in content:
                         content[key] += float(tmp.group(1))
@@ -112,14 +123,13 @@ def main():
 
                     break
 
-
     # compute full list of points to display from the raw values
     # each point is a couple x, y and lists are indexed by nbThreads
     points = {}
-    for (nt,nj,events), val in content.items():
+    for (nt, nj, events), val in content.items():
         if nt not in points:
             points[nt] = []
-        points[nt].append((nt*nj, val))
+        points[nt].append((nt * nj, val))
     # # get envelop
     xenv, yenv = getEnvelop(sum(points.values(), []))
     plt.plot(xenv, yenv, label='best hive perf', color='black')
@@ -129,16 +139,31 @@ def main():
         # # Setup colors
         #colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
         # # plot and fill envelop, multi-job and non hive
-        plt.plot(xenv, mjline, marker='o', label='Hive multijob', color=(.8,.8,.8))
-        plt.fill_between(xenv, yenv, mjline, facecolor="none", hatch='\\\\', linewidth=0.0, label="MT gain")
+        plt.plot(
+            xenv,
+            mjline,
+            marker='o',
+            label='Hive multijob',
+            color=(.8, .8, .8))
+        plt.fill_between(
+            xenv,
+            yenv,
+            mjline,
+            facecolor="none",
+            hatch='\\\\',
+            linewidth=0.0,
+            label="MT gain")
     except:
         pass
 
     max_throughput = 0
     max_nt = -1
-    max_j  = -1
+    max_j = -1
     #xenv, yenv = getEnvelop(sum(pointsNH.values(), []))
-    colors = dict(zip(sorted(points.keys()), cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
+    colors = dict(
+        zip(
+            sorted(points.keys()),
+            cm.rainbow(numpy.linspace(0, 1, len(points.keys())))))
     # plot all dots
 
     for nt in sorted(points.keys()):
@@ -148,19 +173,27 @@ def main():
         if max(yps) > max_throughput:
             max_throughput = max(yps)
             max_nt = nt
-            max_j  = xps[numpy.argmax(yps)]//nt
-        plt.scatter(xps, yps, marker='o', label='%d thr/job' % nt, color=colors[nt], alpha=.7)
-
-    print("Max reached throughput {} at {} jobs with {} threads".format(max_throughput,max_j, max_nt))
+            max_j = xps[numpy.argmax(yps)] // nt
+        plt.scatter(
+            xps,
+            yps,
+            marker='o',
+            label='%d thr/job' % nt,
+            color=colors[nt],
+            alpha=.7)
+
+    print("Max reached throughput {} at {} jobs with {} threads".format(
+        max_throughput, max_j, max_nt))
 
     # rework labels
     ax = plt.axes()
     plt.legend(loc=4, ncol=2)
-    ax.grid(color=(.9,.9,.9))
+    ax.grid(color=(.9, .9, .9))
     plt.xlabel('Level of parallelization (nb threads x nb jobs)')
     plt.ylabel('Events / s')
     plt.savefig('./scalingTest.png')
     plt.savefig('./scalingTest.pdf')
 
+
 if __name__ == '__main__':
     sys.exit(main())
diff --git a/readTimingTable.py b/readTimingTable.py
new file mode 100644
index 00000000..ecf65406
--- /dev/null
+++ b/readTimingTable.py
@@ -0,0 +1,186 @@
+from __future__ import print_function, division, absolute_import
+import pandas
+import os, sys, re
+from io import StringIO, open
+from collections import OrderedDict
+"""
+Define the algorithm names that are grouped under different categories.
+The algorithms are arranged as a list of (possible regular) expressions
+This is an OrderedDict so that if an algorithm matches more than one group
+it is added to the first one
+"""
+algGroups = {
+    "HLT1":
+    OrderedDict([
+        ("Framework", ["LHCb__MDF__IOAlg", "reserveIOV", "DummyEventTime"]),
+        ("VeloCluster",
+         ["VeloClusterTrackingSIMD", "TrackBeamLineVertexFinderSoA"]),
+        ("GEC", ["PrGECFilter"]),
+        ("VeloUT", ["PrStorePrUTHits", "PrVeloUT"]),
+        ("Forward", ["FTRawBankDecoder", "SciFiTrackForwarding.*"]),
+        ("VeloKalman", ["VeloKalman"]),
+        ("Muon", [".*Muon.*"]),
+    ]),
+    "HLT2":
+    OrderedDict([
+        ("Framework",
+         ["LHCb__MDF__IOAlg", "reserveIOV", "createODIN", "DummyEventTime"]),
+        (
+            "HLT1",
+            [
+                "VeloClusterTrackingSIMD",
+                "PrGECFilter",
+                "TrackBeamLineVertexFinderSoA",
+                "VPClus",
+                "PrVeloUT",
+                "PrStoreUTHit",
+                "PrStorePrUTHits",
+                "VeloKalman",
+                "FTRawBankDecoder",
+                "PrStoreFTHit",
+                "SciFiTrackForwarding.*"  #contains both the algorithm and the hit-storing
+            ]),
+        ("Forward", ["PrStoreSciFiHits", "PrForwardTrackingVelo"]),
+        ("Seeding", ["PrHybridSeeding"]),
+        ("Match", ["PrMatchNN"]),
+        ("Downstream", ["PrLongLivedTracking"]),
+        ("TrackFit", ["TrackBestTrackCreator"]),
+        ("Calorimeter", [
+            "FutureEcalZSup", "FutureCellularAutomatonAlg",
+            "CaloFutureShowerOverlap", "CaloFutureClusterCovarianceAlg",
+            "CaloFutureMergedPi0", "InEcalFutureAcceptanceAlg",
+            "FutureTrack2EcalEAlg", "FutureEcalPIDmuAlg", "FutureHcalZSup",
+            "InHcalFutureAcceptanceAlg", "FutureTrack2HcalEAlg",
+            "FutureHcalPIDeAlg", "FutureHcalPIDmuAlg", "FuturePhotonMatchAlg",
+            "ClassifyPhotonElectronAlg", "FutureElectronMatchAlg",
+            "FutureEcalChi22ID", "FutureEcalPIDeAlg",
+            "FutureInBremFutureAcceptanceAlg", "BremMatchAlgFuture",
+            "BremChi22IDFuture", "BremPIDeAlgFuture", "FutureClusChi22ID"
+        ]),
+        ("RICH", [
+            ".*?[r,R][i,I][c,C][h,H].*"
+        ]),  #matches any combination of uppercase-lowercase mention of RICH
+        ("Converters",
+         [".*?[c,C]onverter.*"]),  #matches either Converter or converter
+    ])
+}
+
+
+def parseTimingTable(log_fn):
+    TIMING_TABLE_RE = re.compile(
+        r"\n"
+        r"HLTControlFlowMgr +INFO Timing table:\n"
+        r"HLTControlFlowMgr +INFO Average ticks per millisecond: (?P<ticks>\d+)\n"
+        r"HLTControlFlowMgr +INFO +\n"
+        r"(?P<table>(?: \|.*\|\n)+)")
+    with open(log_fn, encoding='utf-8') as f:
+        m = TIMING_TABLE_RE.search(f.read())
+        if not m:
+            raise RuntimeError("Timing table not found in {}".format(log_fn))
+    table_str = m.group("table")
+    df = pandas.read_csv(StringIO(table_str), sep=r"\s*\|\s*", engine="python")
+    df = df.drop(columns=["Unnamed: 0", "Unnamed: 5"])
+    df.columns = ["name", "count", "total_time", "average_time"]
+    df.set_index("name")
+    df.name = map(lambda x: x.strip('"'), df.name)
+    return df
+
+
+def parseAllTimingTables(listOfLogs):
+    dfs = [parseTimingTable(path) for path in listOfLogs]
+    df = pandas.concat(dfs).groupby('name').sum()
+    #return a simple map
+    vals = {
+        name: cols["total_time"]
+        for name, cols in df.to_dict('index').items()
+    }
+    return vals
+
+
+def checkTimingVals(timeVals, grouping):
+    """
+    Returns the list of algorithms that are ran and not included in any grouping, and the list of algorithms that are expected but not found.
+    """
+    #Initialisation
+    numberOfRegExpTriggered = {}
+    for algName in timeVals:
+        numberOfRegExpTriggered[algName] = 0
+    numberOfTimesTriggered = {}
+    for group, exprs in grouping.items():
+        numberOfTimesTriggered[group] = {}
+        for expr in exprs:
+            numberOfTimesTriggered[group][expr] = 0
+    #Scanning the timing values
+    for algName in timeVals:
+        for group, exprs in grouping.items():
+            for expr in exprs:
+                if re.match(expr, algName):
+                    numberOfTimesTriggered[group][expr] += 1
+                    numberOfRegExpTriggered[algName] += 1
+    #Checks for algorithm names that match to no expression
+    notInGrouping = []
+    #Checks for algorithm names that match more than one expression (bad)
+    triggersMore = []
+    for algName in timeVals:
+        if numberOfRegExpTriggered[algName] == 0:
+            notInGrouping.append(algName)
+        elif numberOfRegExpTriggered[algName] > 1:
+            triggersMore.append(algName)
+    #Checks for expressions that did not match anything
+    notInTiming = []
+    for group, exprs in numberOfTimesTriggered.items():
+        for expr, val in exprs.items():
+            if val == 0:
+                notInTiming.append(expr)
+
+    if len(notInGrouping) != 0:
+        print(
+            "WARNING: Following algorithms are in the timing table but are not associated with any group of algorithms"
+        )
+        for a in notInGrouping:
+            print("\t", a)
+    if len(notInTiming) != 0:
+        print(
+            "WARNING: Following algorithms are expected but are not found in the timing table"
+        )
+        for a in notInTiming:
+            print("\t", a)
+    if (len(triggersMore) != 0):
+        print(
+            "ERROR: Following expressions trigger more than one regular expression"
+        )
+        for a in triggersMore:
+            print("\t", a)
+
+
+def groupValues(groups, timeVals):
+    """
+    Gathers timing values in easy-to-understand groups. Also checks for algorithms that are not included in any grouping or some expected algorithms that are not present
+    """
+    # Checks which values are not in any grouping
+    checkTimingVals(timeVals, groups)
+    #TOTAL:
+    groupedTimings = {}
+    groupedTimings["Total"] = sum(timeVals.values())
+
+    #Read them
+    def find_group(k):
+        for name, exprs in groups.items():
+            if any(re.match(expr, k) for expr in exprs):
+                return name
+        return "Other"
+
+    for name in groups:
+        groupedTimings[name] = 0
+    groupedTimings["Other"] = 0
+    for k, v in timeVals.items():
+        groupedTimings[find_group(k)] += v
+
+    for k, v in groupedTimings.items():
+        if k != "Total":
+            groupedTimings[k] /= groupedTimings["Total"] / 100.
+    return groupedTimings
+
+
+def readTimings(groupName, listOfLogs):
+    return groupValues(algGroups[groupName], parseAllTimingTables(listOfLogs))
diff --git a/run_scaling_jobs.py b/run_scaling_jobs.py
index 6ca6e21e..462d89dd 100755
--- a/run_scaling_jobs.py
+++ b/run_scaling_jobs.py
@@ -1,34 +1,60 @@
 #!/usr/bin/env python
 """Runs a various thread : job  configurations for scaling test"""
 
-import re
 import os
 import sys
 import argparse
 import subprocess
 
-DEFAULT_CONFIG=("1:2:4:50000,2:2:4:50000,4:2:4:50000,10:2:4:50000,18:2:4:100000,20:2:4:100000,22:2:4:100000,"
-                "1:8:10:200000,2:8:10:200000,3:8:10:200000,4:8:10:400000,5:8:10:400000,6:8:10:400000,"
-                "1:10:12:250000,2:10:12:250000,3:10:12:250000,"
-                "1:18:20:400000,2:18:20:400000,"
-                "1:20:24:500000,2:20:24:500000,"
-                "1:22:28:600000,2:22:24:600000")
+DIR = os.path.dirname(__file__)
+RUN_THROUGHPUT_SCRIPT = os.path.join(DIR, "run_throughput_jobs.py")
+
+DEFAULT_CONFIG = (
+    "1:2:4:50000,2:2:4:50000,4:2:4:50000,10:2:4:50000,18:2:4:100000,20:2:4:100000,22:2:4:100000,"
+    "1:8:10:200000,2:8:10:200000,3:8:10:200000,4:8:10:400000,5:8:10:400000,6:8:10:400000,"
+    "1:10:12:250000,2:10:12:250000,3:10:12:250000,"
+    "1:18:20:400000,2:18:20:400000,"
+    "1:20:24:500000,2:20:24:500000,"
+    "1:22:28:600000,2:22:24:600000")
 
 
 def main():
     parser = argparse.ArgumentParser(description=__doc__)
 
-    parser.add_argument('-c','--config', type=str, default=DEFAULT_CONFIG,
-            help='''nb of configs to run test for specified as a list:
-            "j:t:e:n,j:t:e:n,j:t:e:n,... where j=job, t=threads, e=Eventslots and n=number of events per job''')
+    parser.add_argument(
+        '-c',
+        '--config',
+        type=str,
+        default=DEFAULT_CONFIG,
+        help='''nb of configs to run test for specified as a list:
+            "j:t:e:n,j:t:e:n,j:t:e:n,... where j=job, t=threads, e=Eventslots and n=number of events per job'''
+    )
 
-    parser.add_argument('OptsFileName', type=str, help='Option file name which defines the reconstruction sequence to run.')
+    parser.add_argument(
+        'OptsFileName',
+        type=str,
+        help=
+        'Option file name which defines the reconstruction sequence to run.')
 
-    parser.add_argument('--test-file-db-key', default='MiniBrunel_2018_MinBias_FTv4_MDF', help='TestFileDB key defining input files and tags.')
+    parser.add_argument(
+        '--test-file-db-key',
+        default='MiniBrunel_2018_MinBias_FTv4_MDF',
+        help='TestFileDB key defining input files and tags.')
 
-    parser.add_argument('-f','--inputFileNames', type=str, nargs='+', default="", help='Names of input files, multiple names possible')
+    parser.add_argument(
+        '-f',
+        '--inputFileNames',
+        type=str,
+        nargs='+',
+        default="",
+        help='Names of input files, multiple names possible')
 
-    parser.add_argument('--cache-dirs', default=None, help='Comma separated paths to directories, one per job, where the input files will be cached (default is hostname dependent or $XDG_RUNTIME_DIR).')
+    parser.add_argument(
+        '--cache-dirs',
+        default=None,
+        help=
+        'Comma separated paths to directories, one per job, where the input files will be cached (default is hostname dependent or $XDG_RUNTIME_DIR).'
+    )
 
     args = parser.parse_args()
 
@@ -36,8 +62,11 @@ def main():
     for conf in configs:
         jobs, threads, eventslots, events = conf.split(':')
 
-        cmdLine = ['python', './run_throughput_jobs.py','--outfileTag','Scaling', '-e', eventslots, '-t', threads,
-                    '-j', jobs, '-n', events, '--test-file-db-key', args.test_file_db_key, args.OptsFileName]
+        cmdLine = [
+            'python', RUN_THROUGHPUT_SCRIPT, '--outfileTag', 'Scaling', '-e',
+            eventslots, '-t', threads, '-j', jobs, '-n', events,
+            '--test-file-db-key', args.test_file_db_key, args.OptsFileName
+        ]
         if args.cache_dirs is not None:
             cmdLine += ['--cache-dirs', args.cache_dirs]
         if args.inputFileNames is not "":
@@ -47,5 +76,6 @@ def main():
         process = subprocess.Popen(cmdLine)
         process.wait()
 
+
 if __name__ == '__main__':
     sys.exit(main())
diff --git a/run_throughput_jobs.py b/run_throughput_jobs.py
index ffa87002..4112d54d 100755
--- a/run_throughput_jobs.py
+++ b/run_throughput_jobs.py
@@ -220,12 +220,9 @@ options.input_files = {inputs!r}
         logging.info("Making profile plots")
         for s in args.options:
             hlt_label = "HLT1" if "hlt1" in s.lower() else "HLT2"
-        plotting_cmd = [
-            "./make_profile_plots.py", "-r", "profile_out", "-l", hlt_label,
-            "-t",
-            str(parsed_throughput)
-        ]
-        process = subprocess.Popen(plotting_cmd)
+        import make_profile_plots
+        make_profile_plots.main("profile_out", [log_filename], hlt_label,
+                                parsed_throughput)
 
     return process, log_file
 
-- 
GitLab


From 1664bb150ff8f5e6a129f2a31caa65a1c6ab8b75 Mon Sep 17 00:00:00 2001
From: Christoph Hasse <hasse.christoph@outlook.de>
Date: Thu, 7 May 2020 14:29:10 +0200
Subject: [PATCH 92/96] move stuff around

---
 OtherScripts/hivetimeline.py                  | 197 ------------------
 palette.map                                   | 193 -----------------
 .../MooreTests/make_profile_plots.py          |   0
 .../MooreTests/plotScaling.py                 |   0
 .../MooreTests/readTimingTable.py             |   0
 .../MooreTests/run_scaling_jobs.py            |   0
 .../MooreTests/run_throughput_jobs.py         |   0
 .../Moore_hlt1_pp_comparison.sh               |   0
 .../Moore_hlt1_pp_default.sh                  |   0
 .../Moore_hlt1_pp_track_mva.sh                |   0
 .../Moore_hlt1_reco_baseline.sh               |   0
 .../Moore_hlt1_reco_baseline_scaling_test.sh  |   0
 .../Moore_hlt1_reco_ftv6.sh                   |   0
 .../Moore_hlt1_reco_prforward.sh              |   0
 .../Moore_hlt1_reco_velo_only.sh              |   0
 .../Moore_hlt2_reco_baseline.sh               |   0
 .../Moore_hlt2_reco_brunelesque.sh            |   0
 .../benchmark-scripts/Readme.md               |   0
 .../benchmark-scripts/cleanup.sh              |   0
 .../benchmark-scripts/flamegraph.pl           |   0
 .../benchmark-scripts/stackcollapse-vtune.pl  |   0
 21 files changed, 390 deletions(-)
 delete mode 100644 OtherScripts/hivetimeline.py
 delete mode 100644 palette.map
 rename make_profile_plots.py => python/MooreTests/make_profile_plots.py (100%)
 rename plotScaling.py => python/MooreTests/plotScaling.py (100%)
 rename readTimingTable.py => python/MooreTests/readTimingTable.py (100%)
 rename run_scaling_jobs.py => python/MooreTests/run_scaling_jobs.py (100%)
 rename run_throughput_jobs.py => python/MooreTests/run_throughput_jobs.py (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_pp_comparison.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_pp_default.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_pp_track_mva.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_reco_baseline.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_reco_baseline_scaling_test.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_reco_ftv6.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_reco_prforward.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt1_reco_velo_only.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt2_reco_baseline.sh (100%)
 rename scripts/{ => benchmark-scripts}/Moore_hlt2_reco_brunelesque.sh (100%)
 rename Readme.md => scripts/benchmark-scripts/Readme.md (100%)
 rename cleanup.sh => scripts/benchmark-scripts/cleanup.sh (100%)
 rename flamegraph.pl => scripts/benchmark-scripts/flamegraph.pl (100%)
 rename stackcollapse-vtune.pl => scripts/benchmark-scripts/stackcollapse-vtune.pl (100%)

diff --git a/OtherScripts/hivetimeline.py b/OtherScripts/hivetimeline.py
deleted file mode 100644
index 1e724312..00000000
--- a/OtherScripts/hivetimeline.py
+++ /dev/null
@@ -1,197 +0,0 @@
-#!/usr/bin/env python
-"""Plot timeline from TimelineSvc"""
-
-__author__ = "Frank Winklmeier"
-
-import sys
-import os
-import re
-import argparse
-import operator
-from collections import defaultdict
-
-algcolors = []
-evtcolors = []
-
-
-# Attributes will be added in read()
-class Data:
-    pass
-
-
-excludedSeqs = [
-    'BrunelSequencer', 'ParallelSeq', 'FilterSeq', 'RecoDecodingSeq',
-    'RecoTrFastSeq', 'Reco', 'PhysicsSeq', 'Output'
-]
-
-
-def read(f, regex='.*'):
-    data = []
-    regex = re.compile(regex)
-    for l in open(f, 'r'):
-        if l.startswith('#'):  # e.g. #start end algorithm thread slot event
-            names = l.lstrip('#').split()
-            continue
-        d = Data()
-        for i, f in enumerate(l.split()):
-            setattr(d, names[i], int(f) if f.isdigit() else f)
-        if d.algorithm not in excludedSeqs:
-            data.append(d)
-    return data
-
-
-def findEvents(data):
-    """Find event start/stop times"""
-
-    t = defaultdict(lambda: [sys.maxint, 0])  # start,stop
-    for d in data:
-        if d.start < t[d.event][0]: t[d.event][0] = d.start
-        if d.end > t[d.event][1]: t[d.event][1] = d.end
-
-    return t
-
-
-def setPalette(nevts):
-    global algcolors, evtcolors
-
-    from ROOT import TColor
-    algcolors = range(2, 10) + [20, 28, 29, 30, 33, 38, 40] + range(41, 50)
-    evtcolors = [
-        TColor.GetColor(g, g, g) for g in range(20, 255, (255 - 20) / nevts)
-    ]
-
-
-def plot(data, showThreads=True, batch=False):
-    import ROOT
-
-    tmin = min(f.start for f in data)
-    tmax = max(f.end for f in data)
-    slots = 1 + max(f.slot for f in data)
-    threads = sorted(list(set(f.thread for f in data)))
-    threadid = dict((k, v) for v, k in enumerate(threads))  # map thread : id
-    ymax = len(threads) if showThreads else slots
-
-    c = ROOT.TCanvas('timeline', 'Timeline', 1200, 500)
-    c.SetLeftMargin(0.05)
-    c.SetRightMargin(0.2)
-    c.SetTopMargin(0.1)
-    c.coord = ROOT.TH2I('coord', ';Time', 100, 0, tmax - tmin, ymax, 0, ymax)
-    c.coord.GetYaxis().SetTitle(('Thread' if showThreads else 'Slot'))
-    c.coord.GetYaxis().SetTitleOffset(0.6)
-    c.coord.SetStats(False)
-    c.coord.GetYaxis().SetNdivisions(ymax)
-
-    c.Draw()
-    c.coord.Draw()
-
-    c.lines = []
-    colors = {}
-    setPalette(ymax)
-    mycolors = algcolors
-    for d in data:
-        y = (threadid[d.thread] if showThreads else d.slot) + 0.4
-        alg = d.algorithm
-        if not alg in colors and len(mycolors) > 0:
-            colors[alg] = mycolors.pop(0)
-            if len(mycolors) == 0:
-                print "Too many algorithm to show"
-
-        if alg in colors:
-            # Alg
-            l = ROOT.TLine(d.start - tmin, y, d.end - tmin, y)
-            l.SetLineColor(colors[alg])
-            l.SetLineWidth(30)
-
-            # Event
-            l2 = ROOT.TLine(d.start - tmin, y + 0.3, d.end - tmin, y + 0.3)
-            l2.SetLineColor(evtcolors[d.event % ymax])
-            l2.SetLineWidth(10)
-            c.lines += [l, l2]
-
-            l2.Draw()
-            l.Draw()
-
-    # Gloabl event timeline
-    tevt = findEvents(data)
-    for k, v in tevt.iteritems():
-        m = k % ymax  # event modulo
-        y = ymax + 0.06 * m + 0.05
-        l = ROOT.TLine(v[0] - tmin, y, v[1] - tmin, y)
-        l.SetLineColor(evtcolors[m])
-        l.SetLineWidth(5)
-        c.lines += [l]
-        l.Draw()
-
-    # Alg legend
-    c.leg = ROOT.TLegend(0.8, 0.4, 0.98, 0.9)
-    for alg, cl in sorted(colors.iteritems(), key=operator.itemgetter(1)):
-        e = c.leg.AddEntry('', alg, 'F')
-        e.SetLineColor(cl)
-        e.SetFillColor(cl)
-        e.SetFillStyle(1001)
-
-    # Event legend
-    for cl in range(ymax):
-        l = ROOT.TLine()
-        c.lines.append(l)
-        l.SetLineWidth(10)
-        l.SetLineColor(evtcolors[cl])
-        l.DrawLineNDC(0.807 + 0.02 * cl, 0.37, 0.807 + 0.02 * (cl + 1), 0.37)
-
-    c.t1 = ROOT.TText(0.807, 0.314, 'Events')
-    c.t1.SetNDC()
-    c.t1.SetTextFont(42)
-    c.t1.SetTextSize(0.04)
-    c.t1.Draw()
-
-    ROOT.TLine()
-    c.leg.Draw()
-    c.Update()
-    if not batch: raw_input()
-    return c
-
-
-def main():
-    parser = argparse.ArgumentParser(description=__doc__)
-
-    parser.add_argument('timeline', nargs=1, help='timeline file')
-
-    parser.add_argument(
-        '-s',
-        '--select',
-        default='.*',
-        help='Regular expression to filter algorithms')
-
-    parser.add_argument(
-        '-b',
-        '--batch',
-        action='store_true',
-        default=False,
-        help='Do not wait for user input')
-
-    parser.add_argument(
-        '--slots',
-        action='store_true',
-        default=False,
-        help='Show slots instead of threads (leads to overlaps!)')
-
-    parser.add_argument(
-        '-p',
-        '--print',
-        dest='outfile',
-        nargs='?',
-        const='timeline.png',
-        help='Save to FILE [%(const)s]')
-
-    args = parser.parse_args()
-
-    data = read(args.timeline[0], args.select)
-    c = plot(data, not args.slots, args.batch)
-    if args.outfile:
-        c.SaveAs(args.outfile)
-
-    return 0
-
-
-if __name__ == '__main__':
-    sys.exit(main())
diff --git a/palette.map b/palette.map
deleted file mode 100644
index 220d0f4f..00000000
--- a/palette.map
+++ /dev/null
@@ -1,193 +0,0 @@
-->rgb(214,18,24)
-[Unknown]!Total->rgb(218,220,5)
-_ctypes.so!PyCFuncPtr_call->rgb(215,222,16)
-_ctypes.so!_call_function_pointer->rgb(206,163,25)
-_ctypes.so!_ctypes_callproc->rgb(232,124,19)
-_ctypes.so!ffi_call->rgb(213,179,52)
-_ctypes.so!ffi_call_unix64->rgb(239,136,30)
-libDAQEventLib.so!LHCb::RawEvent::addBank->rgb(241,184,27)
-libDAQEventLib.so!LHCb::RawEvent::adoptBank->rgb(227,179,31)
-libDAQEventLib.so!LHCb::RawEvent::~RawEvent->rgb(208,77,36)
-libFTDAQ.so!FTRawBankDecoder::decode<(unsigned int)4>->rgb(213,39,8)
-libFTDAQ.so!FTRawBankDecoder::operator()->rgb(227,134,54)
-libFTDAQ.so!Gaudi::Functional::Transformer<LHCb::Container::MultiIndexedContainer<LHCb::FTLiteCluster, (unsigned long)48> (LHCb::RawEvent const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(248,98,48)
-libGaudiAlgLib.so!GaudiAlgorithm::sysExecute->rgb(212,122,2)
-libGaudiCommonSvc.so!AlgContextSvc::unSetCurrentAlg->rgb(234,78,36)
-libGaudiCommonSvc.so!PersistencySvc::createObj->rgb(233,186,43)
-libGaudiCommonSvc.so!PersistencySvc::fillObjRefs->rgb(219,191,36)
-libGaudiCommonSvc.so!PersistencySvc::makeCall->rgb(212,23,0)
-libGaudiCoreSvc.so!AlgExecStateSvc::algExecState->rgb(220,108,51)
-libGaudiCoreSvc.so!ApplicationMgr::executeRun->rgb(251,44,22)
-libGaudiCoreSvc.so!EventSelector::next->rgb(223,88,44)
-libGaudiCoreSvc.so!Gaudi::details::LegacyAlgorithmAdapter::execute->rgb(254,215,54)
-libGaudiHive.so!Gaudi::Hive::FetchDataFromFile::execute->rgb(237,186,40)
-libGaudiHive.so!HiveWhiteBoard::clearStore->rgb(213,74,22)
-libGaudiHive.so!HiveWhiteBoard::preLoad->rgb(250,209,14)
-libGaudiHive.so!HiveWhiteBoard::registerObject->rgb(207,4,37)
-libGaudiKernel.so!DataObject::release->rgb(242,36,48)
-libGaudiKernel.so!DataSvc::clearStore->rgb(229,214,13)
-libGaudiKernel.so!DataSvc::i_retrieveEntry->rgb(224,179,5)
-libGaudiKernel.so!DataSvc::loadObject->rgb(213,132,5)
-libGaudiKernel.so!DataSvc::preLoad->rgb(240,127,18)
-libGaudiKernel.so!DataSvc::registerObject->rgb(254,16,41)
-libGaudiKernel.so!DataSvc::retrieveObject->rgb(221,42,47)
-libGaudiKernel.so!DataSvcHelpers::RegistryEntry::deleteElements->rgb(225,194,12)
-libGaudiKernel.so!DataSvcHelpers::RegistryEntry::release->rgb(244,9,38)
-libGaudiKernel.so!DataSvcHelpers::RegistryEntry::~RegistryEntry->rgb(226,171,32)
-libGaudiKernel.so!Gaudi::Algorithm::sysExecute->rgb(242,109,22)
-libGaudiKernel.so!Gaudi::Utils::AlgContext::AlgContext->rgb(254,21,54)
-libGaudiKernel.so!Gaudi::Utils::AlgContext::~AlgContext->rgb(207,136,14)
-libGaudiKernel.so!py_bootstrap_app_run->rgb(205,158,14)
-libGaudiUtils.so!Gaudi::IODataManager::read->rgb(224,37,9)
-libHLTScheduler.so!(anonymous namespace)::Wrapper<HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}>::execute->rgb(241,59,32)
-libHLTScheduler.so!HLTControlFlowMgr::declareEventRootAddress->rgb(213,180,4)
-libHLTScheduler.so!HLTControlFlowMgr::executeEvent->rgb(239,168,26)
-libHLTScheduler.so!HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()->rgb(218,8,26)
-libHLTScheduler.so!HLTControlFlowMgr::executeRun->rgb(230,144,6)
-libHLTScheduler.so!HLTControlFlowMgr::nextEvent->rgb(220,134,51)
-libHLTScheduler.so!HLTControlFlowMgr::promoteToExecuted->rgb(245,118,48)
-libHLTScheduler.so!std::__detail::__variant::__gen_vtable_impl<std::__detail::__variant::_Multi_array<void (*)(overload<HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()(void)::{lambda(BasicNode&)#1}, HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()(void)::{lambda(HLTControlFlowMgr::executeEvent(void*)::{lambda()#1}::operator()(void)::{lambda(BasicNode&)#1}&)#2}>&&, std::variant<BasicNode, CompositeNode<(nodeType)0>, CompositeNode<(nodeType)1>, CompositeNode<(nodeType)2>, CompositeNode<(nodeType)3>, CompositeNode<(nodeType)4>>&)>, std::tuple<std::variant<BasicNode, CompositeNode<(nodeType)0>, CompositeNode<(nodeType)1>, CompositeNode<(nodeType)2>, CompositeNode<(nodeType)3>, CompositeNode<(nodeType)4>>&>, std::integer_sequence<unsigned long, (unsigned long)0>>::__visit_invoke->rgb(248,126,7)
-libMDF.so!LHCb::MDFContext::readBuffer->rgb(237,153,44)
-libMDF.so!LHCb::MDFContext::receiveData->rgb(245,77,30)
-libMDFLib.so!(anonymous namespace)::file_read->rgb(238,143,5)
-libMDFLib.so!LHCb::MDFIO::readBanks->rgb(209,218,34)
-libMDFLib.so!LHCb::RawDataCnvSvc::createObj->rgb(217,119,11)
-libMDFLib.so!LHCb::RawDataCnvSvc::fillObjRefs->rgb(235,43,39)
-libMDFLib.so!LHCb::RawDataConnection::read->rgb(232,89,41)
-libMDFLib.so!LHCb::RawDataSelector::next->rgb(250,204,25)
-libMDFLib.so!LHCb::checkRawBank->rgb(223,46,42)
-libMDFLib.so!LHCb::decodeRawBanks->rgb(219,113,45)
-libMDFLib.so!LHCb::unpackTAE->rgb(249,158,27)
-libPatPV.so!(anonymous namespace)::AdaptivePVTrack::AdaptivePVTrack->rgb(218,47,35)
-libPatPV.so!(anonymous namespace)::AdaptivePVTrack::updateCache->rgb(250,37,38)
-libPatPV.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::RecVertex, std::allocator<LHCb::Event::v2::RecVertex>> (std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(251,69,29)
-libPatPV.so!PatPV3DFuture::findClusters->rgb(209,10,49)
-libPatPV.so!PatPV3DFuture::fitVertex->rgb(232,12,27)
-libPatPV.so!PatPV3DFuture::getSeeds->rgb(242,124,8)
-libPatPV.so!PatPV3DFuture::getTukeyWeight->rgb(246,191,54)
-libPatPV.so!PatPV3DFuture::operator()->rgb(250,179,6)
-libPatPV.so!PatPV3DFuture::reconstructMultiPV->rgb(218,110,4)
-libPatPV.so!PatPV3DFuture::reconstructMultiPVFromTracks->rgb(205,108,10)
-libPatPV.so!PatPV3DFuture::removeTracks->rgb(206,3,14)
-libPatPV.so!__gnu_cxx::__ops::_Iter_pred<PatPV3DFuture::removeTracks(std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>>&, std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>> const&) const::{lambda(LHCb::Event::v2::Track const*)#1}>::operator()<__gnu_cxx::__normal_iterator<LHCb::Event::v2::Track const**, std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>>>>->rgb(206,122,0)
-libPatPV.so!std::__introsort_loop<__gnu_cxx::__normal_iterator<vtxCluster**, std::vector<vtxCluster*, std::allocator<vtxCluster*>>>, long, __gnu_cxx::__ops::_Iter_comp_iter<bool (*)(vtxCluster*, vtxCluster*)>>.constprop.1021->rgb(206,37,0)
-libPatPV.so!std::vector<vtxCluster, std::allocator<vtxCluster>>::_M_realloc_insert<vtxCluster const&>->rgb(236,4,29)
-libPrAlgorithms.so!DataObjectHandle<AnyDataWrapper<Pr::Selection<LHCb::Event::v2::Track, unsigned short>>>::put->rgb(237,99,34)
-libPrAlgorithms.so!DataObjectHandle<AnyDataWrapper<UT::HitHandler>>::put->rgb(253,94,4)
-libPrAlgorithms.so!Gaudi::Functional::Transformer<Pr::Selection<LHCb::Event::v2::Track, unsigned short> (std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(247,56,38)
-libPrAlgorithms.so!Gaudi::Functional::Transformer<PrFTHitHandler<PrHit> (LHCb::Container::MultiIndexedContainer<LHCb::FTLiteCluster, (unsigned long)48> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(251,16,30)
-libPrAlgorithms.so!Gaudi::Functional::Transformer<UT::HitHandler (LHCb::RawEvent const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(222,140,3)
-libPrAlgorithms.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> (PrFTHitHandler<PrHit> const&, Pr::Selection<LHCb::Event::v2::Track, unsigned short> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(251,49,24)
-libPrAlgorithms.so!LHCb::Event::v2::Track::Track->rgb(232,75,5)
-libPrAlgorithms.so!PrFTHitHandler<PrHit>::getIterator_lowerBound->rgb(230,26,38)
-libPrAlgorithms.so!PrForwardTrack::distance->rgb(250,136,38)
-libPrAlgorithms.so!PrForwardTracking::addHitsOnEmptyStereoLayers->rgb(252,149,52)
-libPrAlgorithms.so!PrForwardTracking::addHitsOnEmptyXLayers<(PrHitZone::Side)0>->rgb(205,162,51)
-libPrAlgorithms.so!PrForwardTracking::addHitsOnEmptyXLayers<(PrHitZone::Side)1>->rgb(210,198,10)
-libPrAlgorithms.so!PrForwardTracking::collectAllXHits<(PrHitZone::Side)0>->rgb(221,71,21)
-libPrAlgorithms.so!PrForwardTracking::collectAllXHits<(PrHitZone::Side)1>->rgb(246,194,15)
-libPrAlgorithms.so!PrForwardTracking::collectStereoHits->rgb(222,178,44)
-libPrAlgorithms.so!PrForwardTracking::extendTracks->rgb(223,120,3)
-libPrAlgorithms.so!PrForwardTracking::fitXProjection->rgb(208,97,43)
-libPrAlgorithms.so!PrForwardTracking::fitYProjection->rgb(228,40,29)
-libPrAlgorithms.so!PrForwardTracking::makeLHCbTracks->rgb(239,154,10)
-libPrAlgorithms.so!PrForwardTracking::merge6Sorted.constprop.1229->rgb(226,189,38)
-libPrAlgorithms.so!PrForwardTracking::operator()->rgb(236,121,16)
-libPrAlgorithms.so!PrForwardTracking::selectFullCandidates->rgb(218,190,46)
-libPrAlgorithms.so!PrForwardTracking::selectStereoHits->rgb(248,109,30)
-libPrAlgorithms.so!PrForwardTracking::selectXCandidates<(PrHitZone::Side)0>.constprop.1237->rgb(223,4,30)
-libPrAlgorithms.so!PrForwardTracking::selectXCandidates<(PrHitZone::Side)1>.constprop.1236->rgb(250,214,0)
-libPrAlgorithms.so!PrForwardTracking::xAtRef_SamePlaneHits.constprop.1228->rgb(233,206,40)
-libPrAlgorithms.so!PrStoreFTHit::operator()->rgb(216,216,27)
-libPrAlgorithms.so!PrStoreUTHit::decodeBanks->rgb(235,32,37)
-libPrAlgorithms.so!PrStoreUTHit::operator()->rgb(244,28,32)
-libPrAlgorithms.so!ReadMLP_Forward1stLoop::GetMvaValue->rgb(245,205,49)
-libPrAlgorithms.so!SiRawBankDecoder<SiClusterWord<UTBitsPolicy>>::SiRawBankDecoder->rgb(206,228,11)
-libPrAlgorithms.so!std::__inplace_merge<__gnu_cxx::__normal_iterator<ModPrHit*, std::vector<ModPrHit, std::allocator<ModPrHit>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1230->rgb(251,217,18)
-libPrAlgorithms.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::LHCbID*, std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1264->rgb(249,53,16)
-libPrAlgorithms.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::TrackHit*, std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>>, __gnu_cxx::__ops::_Iter_comp_iter<PrForwardTracking::makeLHCbTracks(std::vector<PrForwardTrack, std::allocator<PrForwardTrack>> const&, std::vector<std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>, std::allocator<std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>>>) const::{lambda(__gnu_cxx::__normal_iterator<LHCb::TrackHit*, std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>> const&std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>> const&)#1}>>.isra.893->rgb(229,109,9)
-libPrAlgorithms.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<ModPrHit*, std::vector<ModPrHit, std::allocator<ModPrHit>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1248->rgb(240,187,5)
-libPrAlgorithms.so!std::__merge_adaptive<__gnu_cxx::__normal_iterator<ModPrHit*, std::vector<ModPrHit, std::allocator<ModPrHit>>>, long, ModPrHit*, __gnu_cxx::__ops::_Iter_less_iter>.constprop.1232->rgb(249,170,21)
-libPrAlgorithms.so!std::vector<LHCb::Event::v2::Track const*, std::allocator<LHCb::Event::v2::Track const*>>::_M_realloc_insert<LHCb::Event::v2::Track const*>->rgb(249,76,2)
-libPrAlgorithms.so!std::vector<ModPrHit, std::allocator<ModPrHit>>::_M_realloc_insert<ModPrHit const&>->rgb(250,36,34)
-libPrAlgorithms.so!std::vector<ModPrHit, std::allocator<ModPrHit>>::emplace_back<PrHit const*, float, int, int>->rgb(253,73,8)
-libPrAlgorithms.so!std::vector<PrHit const*, std::allocator<PrHit const*>>::_M_realloc_insert<PrHit const* const&>->rgb(242,97,10)
-libPrAlgorithms.so!std::vector<PrHit const*, std::allocator<PrHit const*>>::reserve.constprop.1249->rgb(205,148,47)
-libPrPixel.so!AnyDataWrapper<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>>>::~AnyDataWrapper->rgb(210,131,44)
-libPrPixel.so!AnyDataWrapper<std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>::~AnyDataWrapper->rgb(211,175,35)
-libPrPixel.so!DataObjectHandle<AnyDataWrapper<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>>>>::put->rgb(252,228,24)
-libPrPixel.so!DataObjectHandle<AnyDataWrapper<std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>>::put->rgb(240,10,41)
-libPrPixel.so!Gaudi::Functional::MultiTransformer<std::tuple<std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>, std::array<unsigned int, (unsigned long)53>> (LHCb::RawEvent const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(235,159,45)
-libPrPixel.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> (std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>> const&, std::array<unsigned int, (unsigned long)53> const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(252,9,49)
-libPrPixel.so!LHCb::State::State->rgb(205,137,28)
-libPrPixel.so!PrPixelTrack::chi2PerDoF->rgb(248,4,39)
-libPrPixel.so!PrPixelTrack::covariance->rgb(254,45,50)
-libPrPixel.so!PrPixelTrack::fill->rgb(250,30,46)
-libPrPixel.so!PrPixelTrack::fit->rgb(235,112,51)
-libPrPixel.so!PrPixelTrack::fitKalman->rgb(235,117,54)
-libPrPixel.so!PrPixelTracking::MakeFitterHit->rgb(207,19,18)
-libPrPixel.so!PrPixelTracking::bestHit<(AddHitMode)1>.constprop.1019->rgb(230,99,19)
-libPrPixel.so!PrPixelTracking::bestHit<(AddHitMode)2>->rgb(210,147,17)
-libPrPixel.so!PrPixelTracking::doPairSearch<(SearchDirection)1>->rgb(212,67,11)
-libPrPixel.so!PrPixelTracking::doPairSearch<(SearchDirection)2>->rgb(239,75,53)
-libPrPixel.so!PrPixelTracking::extendTrack<(SearchDirection)1>->rgb(229,61,9)
-libPrPixel.so!PrPixelTracking::extendTrack<(SearchDirection)2>->rgb(245,119,35)
-libPrPixel.so!PrPixelTracking::getPhi->rgb(224,160,9)
-libPrPixel.so!PrPixelTracking::makeLHCbTracks<(SearchDirection)1>->rgb(216,37,20)
-libPrPixel.so!PrPixelTracking::makeLHCbTracks<(SearchDirection)2>->rgb(254,198,17)
-libPrPixel.so!PrPixelTracking::operator()->rgb(209,44,0)
-libPrPixel.so!PrPixelTracking::searchByPair->rgb(215,45,7)
-libPrPixel.so!VSPClus::operator()->rgb(251,102,42)
-libPrPixel.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#1}>>.isra.570->rgb(216,167,4)
-libPrPixel.so!std::__insertion_sort<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#2}>>.isra.574->rgb(220,200,43)
-libPrPixel.so!std::__introsort_loop<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, long, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#1}>>->rgb(254,149,5)
-libPrPixel.so!std::__introsort_loop<__gnu_cxx::__normal_iterator<LHCb::VPLightCluster*, std::vector<LHCb::VPLightCluster, std::allocator<LHCb::VPLightCluster>>>, long, __gnu_cxx::__ops::_Iter_comp_iter<VSPClus::operator()(LHCb::RawEvent const&) const::{lambda(LHCb::VPLightCluster const&LHCb::VPLightCluster const&)#2}>>->rgb(235,205,3)
-libPrPixel.so!std::__lower_bound<gsl::details::span_iterator<gsl::span<float const, (long)-1>, (bool)0>, float, __gnu_cxx::__ops::_Iter_less_val>.constprop.1021->rgb(240,226,10)
-libPrPixel.so!std::__upper_bound<gsl::details::span_iterator<gsl::span<float const, (long)-1>, (bool)0>, float, __gnu_cxx::__ops::_Val_less_iter>.constprop.1018->rgb(227,186,41)
-libPrPixel.so!std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>::reserve->rgb(243,2,4)
-libPrPixel.so!std::vector<LHCb::State, std::allocator<LHCb::State>>::reserve->rgb(246,141,42)
-libPrPixel.so!std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>::emplace_back<LHCb::TrackHit>->rgb(224,26,41)
-libPrPixel.so!std::vector<LHCb::TrackHit, std::allocator<LHCb::TrackHit>>::reserve->rgb(219,181,3)
-libPrPixel.so!std::vector<unsigned int, std::allocator<unsigned int>>::push_back->rgb(246,215,44)
-libPrVeloUT.so!Gaudi::Functional::Transformer<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>> (Pr::Selection<LHCb::Event::v2::Track, unsigned short> const&, UT::HitHandler const&), Gaudi::Functional::Traits::use_<>>::execute->rgb(241,50,3)
-libPrVeloUT.so!PrVeloUT::formClusters->rgb(253,13,29)
-libPrVeloUT.so!PrVeloUT::getHits<PrTableForFunction<(int)3, (int)30>>->rgb(235,7,38)
-libPrVeloUT.so!PrVeloUT::operator()->rgb(222,4,48)
-libPrVeloUT.so!PrVeloUT::prepareOutputTrack<std::vector<LHCb::Event::v2::Track, std::allocator<LHCb::Event::v2::Track>>, PrTableForFunction<(int)30, (int)10, (int)10>>->rgb(225,138,25)
-libRecEvent.so!LHCb::State::State->rgb(229,67,12)
-libTrackEvent.so!LHCb::Event::v2::Track::addToLhcbIDs->rgb(230,41,12)
-libTrackEvent.so!LHCb::Event::v2::Track::addToLhcbIDs<LHCb::Tag::Sorted_tag, void>->rgb(212,71,35)
-libTrackEvent.so!LHCb::Event::v2::Track::addToStates->rgb(248,203,10)
-libTrackEvent.so!LHCb::State::linearTransportTo->rgb(241,163,28)
-libTrackEvent.so!std::__inplace_merge<__gnu_cxx::__normal_iterator<LHCb::LHCbID*, std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>>, __gnu_cxx::__ops::_Iter_less_iter>.constprop.318->rgb(253,93,5)
-libTrackEvent.so!std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>::_M_range_insert<gsl::details::span_iterator<gsl::span<LHCb::LHCbID const, (long)-1>, (bool)0>>.constprop.316->rgb(227,136,43)
-libTrackEvent.so!std::vector<LHCb::LHCbID, std::allocator<LHCb::LHCbID>>::_M_realloc_insert<LHCb::LHCbID const&>->rgb(226,57,10)
-libUTDAQ.so!UTReadoutTool::findByBoardID->rgb(246,16,12)
-libUTDAQLib.so!LHCb::UTDAQ::findSectors->rgb(225,58,42)
-libUTDetLib.so!DeUTDetector::getSector->rgb(206,113,18)
-libUTKernelLib.so!UTTell1Board::DAQToOfflineFull->rgb(222,207,1)
-libc.so.6!__clone->rgb(243,32,30)
-libc.so.6!__libc_start_main->rgb(237,5,4)
-libc.so.6!__memcpy_ssse3_back->rgb(235,7,54)
-libc.so.6!_int_free->rgb(214,74,6)
-libc.so.6!free->rgb(231,63,9)
-libm.so.6!round->rgb(225,192,9)
-libpthread.so.0!__read->rgb(206,144,1)
-libpthread.so.0!start_thread->rgb(208,72,52)
-libpython2.7.so.1.0!PyEval_EvalCode->rgb(253,17,14)
-libpython2.7.so.1.0!PyEval_EvalCodeEx->rgb(220,219,49)
-libpython2.7.so.1.0!PyEval_EvalFrameEx->rgb(220,20,23)
-libpython2.7.so.1.0!PyObject_Call->rgb(208,196,0)
-libpython2.7.so.1.0!PyRun_FileExFlags->rgb(239,211,31)
-libpython2.7.so.1.0!PyRun_SimpleFileExFlags->rgb(220,100,31)
-libpython2.7.so.1.0!Py_Main->rgb(250,8,33)
-libpython2.7.so.1.0!call_function->rgb(243,108,52)
-libpython2.7.so.1.0!do_call->rgb(210,150,11)
-libpython2.7.so.1.0!fast_function->rgb(237,18,2)
-libpython2.7.so.1.0!run_mod->rgb(205,57,0)
-libstdc++.so.6!operator new->rgb(228,57,0)
-libstdc++.so.6!std::condition_variable::notify_all->rgb(228,136,37)
-libtbb.so.2![TBB Dispatch Loop]->rgb(231,129,39)
-libtbb.so.2![TBB worker]->rgb(217,17,31)
-libtbb.so.2!tbb::internal::rml::private_worker::run->rgb(254,65,47)
-python2.7!_start->rgb(215,21,29)
diff --git a/make_profile_plots.py b/python/MooreTests/make_profile_plots.py
similarity index 100%
rename from make_profile_plots.py
rename to python/MooreTests/make_profile_plots.py
diff --git a/plotScaling.py b/python/MooreTests/plotScaling.py
similarity index 100%
rename from plotScaling.py
rename to python/MooreTests/plotScaling.py
diff --git a/readTimingTable.py b/python/MooreTests/readTimingTable.py
similarity index 100%
rename from readTimingTable.py
rename to python/MooreTests/readTimingTable.py
diff --git a/run_scaling_jobs.py b/python/MooreTests/run_scaling_jobs.py
similarity index 100%
rename from run_scaling_jobs.py
rename to python/MooreTests/run_scaling_jobs.py
diff --git a/run_throughput_jobs.py b/python/MooreTests/run_throughput_jobs.py
similarity index 100%
rename from run_throughput_jobs.py
rename to python/MooreTests/run_throughput_jobs.py
diff --git a/scripts/Moore_hlt1_pp_comparison.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
similarity index 100%
rename from scripts/Moore_hlt1_pp_comparison.sh
rename to scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
diff --git a/scripts/Moore_hlt1_pp_default.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
similarity index 100%
rename from scripts/Moore_hlt1_pp_default.sh
rename to scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
diff --git a/scripts/Moore_hlt1_pp_track_mva.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
similarity index 100%
rename from scripts/Moore_hlt1_pp_track_mva.sh
rename to scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
diff --git a/scripts/Moore_hlt1_reco_baseline.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
similarity index 100%
rename from scripts/Moore_hlt1_reco_baseline.sh
rename to scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
diff --git a/scripts/Moore_hlt1_reco_baseline_scaling_test.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
similarity index 100%
rename from scripts/Moore_hlt1_reco_baseline_scaling_test.sh
rename to scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
diff --git a/scripts/Moore_hlt1_reco_ftv6.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
similarity index 100%
rename from scripts/Moore_hlt1_reco_ftv6.sh
rename to scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
diff --git a/scripts/Moore_hlt1_reco_prforward.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
similarity index 100%
rename from scripts/Moore_hlt1_reco_prforward.sh
rename to scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
diff --git a/scripts/Moore_hlt1_reco_velo_only.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
similarity index 100%
rename from scripts/Moore_hlt1_reco_velo_only.sh
rename to scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
diff --git a/scripts/Moore_hlt2_reco_baseline.sh b/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
similarity index 100%
rename from scripts/Moore_hlt2_reco_baseline.sh
rename to scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
diff --git a/scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
similarity index 100%
rename from scripts/Moore_hlt2_reco_brunelesque.sh
rename to scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
diff --git a/Readme.md b/scripts/benchmark-scripts/Readme.md
similarity index 100%
rename from Readme.md
rename to scripts/benchmark-scripts/Readme.md
diff --git a/cleanup.sh b/scripts/benchmark-scripts/cleanup.sh
similarity index 100%
rename from cleanup.sh
rename to scripts/benchmark-scripts/cleanup.sh
diff --git a/flamegraph.pl b/scripts/benchmark-scripts/flamegraph.pl
similarity index 100%
rename from flamegraph.pl
rename to scripts/benchmark-scripts/flamegraph.pl
diff --git a/stackcollapse-vtune.pl b/scripts/benchmark-scripts/stackcollapse-vtune.pl
similarity index 100%
rename from stackcollapse-vtune.pl
rename to scripts/benchmark-scripts/stackcollapse-vtune.pl
-- 
GitLab


From cd2ecd69b30d82298a23caf68085087a1501a44a Mon Sep 17 00:00:00 2001
From: Christoph Hasse <hasse.christoph@outlook.de>
Date: Thu, 7 May 2020 14:37:12 +0200
Subject: [PATCH 93/96] adapt paths to new home in PRConfig

---
 python/MooreTests/make_profile_plots.py           |  4 ++--
 .../benchmark-scripts/Moore_hlt1_pp_comparison.sh |  6 +++---
 .../benchmark-scripts/Moore_hlt1_pp_default.sh    |  6 +++---
 .../benchmark-scripts/Moore_hlt1_pp_track_mva.sh  |  6 +++---
 .../benchmark-scripts/Moore_hlt1_reco_baseline.sh |  6 +++---
 .../Moore_hlt1_reco_baseline_scaling_test.sh      |  4 ++--
 scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh |  6 +++---
 .../Moore_hlt1_reco_prforward.sh                  |  6 +++---
 .../Moore_hlt1_reco_velo_only.sh                  |  6 +++---
 .../benchmark-scripts/Moore_hlt2_reco_baseline.sh |  6 +++---
 .../Moore_hlt2_reco_brunelesque.sh                |  6 +++---
 scripts/benchmark-scripts/Readme.md               | 15 +++++++--------
 scripts/benchmark-scripts/cleanup.sh              | 14 ++++++--------
 13 files changed, 44 insertions(+), 47 deletions(-)

diff --git a/python/MooreTests/make_profile_plots.py b/python/MooreTests/make_profile_plots.py
index 9a007b13..015e895a 100755
--- a/python/MooreTests/make_profile_plots.py
+++ b/python/MooreTests/make_profile_plots.py
@@ -27,8 +27,8 @@ import os
 import argparse
 
 DIR = os.path.dirname(os.path.abspath(__file__))
-STACK_COLLAPSE_SCRIPT = os.path.join(DIR, "stackcollapse-vtune.pl")
-FLAME_GRAPH_SCRIPT = os.path.join(DIR, "flamegraph.pl")
+STACK_COLLAPSE_SCRIPT = os.path.join(DIR, "../../scripts/benchmark-scripts/stackcollapse-vtune.pl")
+FLAME_GRAPH_SCRIPT = os.path.join(DIR, "../../scripts/benchmark-scripts/flamegraph.pl")
 
 
 def main(results_dir, listOfLogs, hltlabel, throughput):
diff --git a/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
index 15e69094..2664604e 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
index dc3583fa..ad50241a 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
index 114b1872..4e60703a 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
index 038a0e9c..f35e8e96 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
index 08b11573..3124cd2b 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_scaling_jobs.py '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../../python/MooreTests/run_scaling_jobs.py '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
index 370ac9a8..ffa1d1a7 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
index 49cb6e86..10d0111d 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
index 19a85635..2b14aa0f 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
-$(dirname $0)/../run_throughput_jobs.py -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh b/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
index 2fa40d01..7583fe8e 100755
--- a/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
@@ -1,12 +1,12 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where we have more space for HLT2 input at
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
diff --git a/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
index 9c3dd4e2..ac0f51fe 100755
--- a/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
@@ -1,12 +1,12 @@
 #!/bin/bash
 
-./cleanup.sh
+$(dirname $0)/cleanup.sh
 
 if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   # this test runs on lbhltperf01 where we have more space for HLT2 input at
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../run_throughput_jobs.py -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
diff --git a/scripts/benchmark-scripts/Readme.md b/scripts/benchmark-scripts/Readme.md
index ab40dff8..d8bd8084 100644
--- a/scripts/benchmark-scripts/Readme.md
+++ b/scripts/benchmark-scripts/Readme.md
@@ -1,16 +1,17 @@
 # LHCb benchmark scripts
-This repository provides a set of scripts to benchmark Moore.
+A set of scripts to benchmark Moore.
 It is used to run [Performance and Regression](https://twiki.cern.ch/twiki/bin/view/LHCb/LHCbPR) (PR) tests on top of nightly builds.
 
 ## Work locally to make flamegraphs or get throughputs
 We recommend to work in the [lb-stack-setup](https://gitlab.cern.ch/rmatev/lb-stack-setup) environment.
-Once the stack is set up and built, and `lhcb-benchmark-scripts` is cloned, making flamegraphs or throughputs becomes a one-liner.
+Once the stack is set up and built, making flamegraphs or throughputs becomes a one-liner.
 
-Have a look at the current PR nightly tests for Moore, that live in `scripts`. These are shell scripts that just call the main `run_throughput_jobs.py` script with appropriate options. Most will run a throughput test first, and then a profiling test. You may want to (copy and) edit such a script. The script can then be executed in the runtime environment which has been previously set up like so:
+Scripts in this folder are used for the current PR nightly tests for Moore. These are shell scripts that just call the main `run_throughput_jobs.py` script with appropriate options. Most will run a throughput test first, and then a profiling test.      
+To test your own code, you may want to (copy and) edit such a script. The script can then be executed in the runtime environment which has been previously set up like so (assuming you are in you lb-stack-setup folder):
 ```
-../utils/build-env bash -c 'source /cvmfs/projects.cern.ch/intelsw/psxe/linux/19-all-setup.sh; ../Moore/build.$BINARY_TAG/run scripts/Moore_hlt1_reco_baseline.sh'
+./utils/build-env bash -c 'source /cvmfs/projects.cern.ch/intelsw/psxe/linux/19-all-setup.sh; ./Moore/build.$BINARY_TAG/run ./DBASE/PRConfig/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh'
 ```
-This assumes that you are in the `lhcb-benchmark-scripts` directory and your stack directory is one level above. Within the `lb-stack-setup` env, the Intel VTune tools have to be setup (`source /cvmfs/projects.cern.ch/intelsw/psxe/linux/19-all-setup.sh`). This is only needed if you want to run a profiling job (i.e. make a flamegraph). The rest of the command is calling the shell script in your custom built Moore environment.
+Within the `lb-stack-setup` env, the Intel VTune tools have to be setup (`source /cvmfs/projects.cern.ch/intelsw/psxe/linux/19-all-setup.sh`). This is only needed if you want to run a profiling job (i.e. make a flamegraph). The rest of the command is calling the shell script in your custom built Moore environment.
 
 ### Input files
 To get reliable throughput numbers, input files are copied to *local* (not mounted) storage. This copy is temporary and will be done every time a test is run (unless the exact same file was already downloaded). To speed up your local tests, we recommend to download the input manually and pass it to the test with the `-f` option.<br>
@@ -18,6 +19,4 @@ We ran into cornercases where input files couldn't be downloaded. If this happen
 In some cases the IO optimizations need to be switched off. Try setting `use_iosvc=False`, `event_store="HiveWhiteBoard"` in your Moore options if you see failures from `LHCb__MDF__IOSvcMM` 
 
 ### Cleaning up
-Running local tests produces some output in the current directory. If you ran the commands from the `lhcb-benchmark-scripts` directory, you can clean up all these files with `./cleanup.sh` or `git clean`.<br> A dry run can be done with `git clean -nxd`. Running `git clean -fxd` will remove the files.
-
-Running profiling jobs will also change the `palette.map` file. These changes should not be committed and you can ignore them with `git update-index --assume-unchanged palette.map`
+Running local tests produces some output in the current directory. You can clean up all these files with `./DBASE/PRConfig/scripts/benchmark-scripts/cleanup.sh` or `git clean`.<br> A dry run can be done with `git clean -nxd`. Running `git clean -fxd` will remove the files.
diff --git a/scripts/benchmark-scripts/cleanup.sh b/scripts/benchmark-scripts/cleanup.sh
index cfefbb8d..a862eb74 100755
--- a/scripts/benchmark-scripts/cleanup.sh
+++ b/scripts/benchmark-scripts/cleanup.sh
@@ -1,11 +1,9 @@
 #! /usr/bin/bash
 
-set -euo pipefail
-
-rm -rf profile_out
-rm -f ThroughputTest*.log
-rm -f Profile*.log
-rm *.png
-rm *.svg
-rm *.pdf
+rm -r profile_out
+rm ThroughputTest*.log
+rm Profile*.log
+rm FlameBars.png
+rm flamy.svg
+rm FlameBars.pdf
 rm result.csv
-- 
GitLab


From 60d0d19155d937d964f79d9b27a5cd46f9c2c4bd Mon Sep 17 00:00:00 2001
From: Christoph Hasse <hasse.christoph@outlook.de>
Date: Thu, 7 May 2020 17:56:51 +0200
Subject: [PATCH 94/96] try to launch via python module

---
 scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
index f35e8e96..27cd6612 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+python -m MooreTests.run_throughput_jobs -n 2e6 '$RECOCONFROOT/options/hlt1_reco_baseline.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_baseline.py'
-- 
GitLab


From 55b70f12161b419bafde4eee58eeb290f86d2e3a Mon Sep 17 00:00:00 2001
From: Christoph Hasse <hasse.christoph@outlook.de>
Date: Fri, 8 May 2020 09:19:33 +0200
Subject: [PATCH 95/96] adapt all benchmark scritps to launch via python module
 syntax

---
 scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh         | 4 ++--
 scripts/benchmark-scripts/Moore_hlt1_pp_default.sh            | 4 ++--
 scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh          | 4 ++--
 .../Moore_hlt1_reco_baseline_scaling_test.sh                  | 2 +-
 scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh             | 4 ++--
 scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh        | 4 ++--
 scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh        | 4 ++--
 scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh         | 4 ++--
 scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh      | 4 ++--
 9 files changed, 17 insertions(+), 17 deletions(-)

diff --git a/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
index 2664604e..975e7db0 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_pp_comparison.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
+python -m MooreTests.run_throughput_jobs -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_comparison.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
index ad50241a..6c295f4a 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_pp_default.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
+python -m MooreTests.run_throughput_jobs -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_default.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh b/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
index 4e60703a..3ce18c14 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_pp_track_mva.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
+python -m MooreTests.run_throughput_jobs -n 2e6 '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile '$MOOREROOT/options/force_functor_cache.py' '$HLT1CONFROOT/options/hlt1_pp_track_mva.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
index 3124cd2b..f807546d 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_baseline_scaling_test.sh
@@ -2,4 +2,4 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_scaling_jobs.py '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+python -m MooreTests.run_throughput_jobs '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
index ffa1d1a7..2f0709a6 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_ftv6.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+python -m MooreTests.run_throughput_jobs -n 2e6 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --test-file-db-key=MiniBrunel_2019_MinBias_FTv6_MDF --profile '$MOOREROOT/options/ft_decoding_v6.py' '$RECOCONFROOT/options/hlt1_reco_baseline.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
index 10d0111d..c64f8c3c 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_prforward.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py'
+python -m MooreTests.run_throughput_jobs -n 2e6 '$RECOCONFROOT/options/hlt1_reco_prforward.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_prforward.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh b/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
index 2b14aa0f..5d742f86 100755
--- a/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
+++ b/scripts/benchmark-scripts/Moore_hlt1_reco_velo_only.sh
@@ -2,6 +2,6 @@
 
 $(dirname $0)/cleanup.sh
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
+python -m MooreTests.run_throughput_jobs -n 3e6 '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile '$RECOCONFROOT/options/hlt1_reco_velo_only.py'
diff --git a/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh b/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
index 7583fe8e..740a9632 100755
--- a/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
+++ b/scripts/benchmark-scripts/Moore_hlt2_reco_baseline.sh
@@ -7,6 +7,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 2e4 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+python -m MooreTests.run_throughput_jobs -n 2e4 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
+python -m MooreTests.run_throughput_jobs -n=-1 -j 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_baseline.py' "${cache_dirs[@]}"
diff --git a/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh b/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
index ac0f51fe..10d72352 100755
--- a/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
+++ b/scripts/benchmark-scripts/Moore_hlt2_reco_brunelesque.sh
@@ -7,6 +7,6 @@ if [[ $(hostname --fqdn) == "lbhltperf01.cern.ch" ]]; then
   cache_dirs=(--cache-dirs "/scratch/z5/data/Hlt2Throughput")
 fi
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+python -m MooreTests.run_throughput_jobs -n 1000 -j 40 -t 1 -e 1 --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
 
-$(dirname $0)/../../python/MooreTests/run_throughput_jobs.py -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
+python -m MooreTests.run_throughput_jobs -n 1000 -j 1 -t 1 -e 1 --profile --test-file-db-key=UpgradeHLT1FilteredWithGEC '$MOOREROOT/options/ft_decoding_v2.py' '$RECOCONFROOT/options/hlt2_reco_brunelesque.py' "${cache_dirs[@]}"
-- 
GitLab


From a7df0c390d5470052e163af7dd3cac2fad540787 Mon Sep 17 00:00:00 2001
From: Christoph Hasse <hasse.christoph@outlook.de>
Date: Fri, 8 May 2020 09:23:50 +0200
Subject: [PATCH 96/96] move flamegraph related script into python package
 MooreTests

---
 .../benchmark-scripts => python/MooreTests}/flamegraph.pl     | 0
 python/MooreTests/make_profile_plots.py                       | 4 ++--
 .../MooreTests}/stackcollapse-vtune.pl                        | 0
 3 files changed, 2 insertions(+), 2 deletions(-)
 rename {scripts/benchmark-scripts => python/MooreTests}/flamegraph.pl (100%)
 rename {scripts/benchmark-scripts => python/MooreTests}/stackcollapse-vtune.pl (100%)

diff --git a/scripts/benchmark-scripts/flamegraph.pl b/python/MooreTests/flamegraph.pl
similarity index 100%
rename from scripts/benchmark-scripts/flamegraph.pl
rename to python/MooreTests/flamegraph.pl
diff --git a/python/MooreTests/make_profile_plots.py b/python/MooreTests/make_profile_plots.py
index 015e895a..9a007b13 100755
--- a/python/MooreTests/make_profile_plots.py
+++ b/python/MooreTests/make_profile_plots.py
@@ -27,8 +27,8 @@ import os
 import argparse
 
 DIR = os.path.dirname(os.path.abspath(__file__))
-STACK_COLLAPSE_SCRIPT = os.path.join(DIR, "../../scripts/benchmark-scripts/stackcollapse-vtune.pl")
-FLAME_GRAPH_SCRIPT = os.path.join(DIR, "../../scripts/benchmark-scripts/flamegraph.pl")
+STACK_COLLAPSE_SCRIPT = os.path.join(DIR, "stackcollapse-vtune.pl")
+FLAME_GRAPH_SCRIPT = os.path.join(DIR, "flamegraph.pl")
 
 
 def main(results_dir, listOfLogs, hltlabel, throughput):
diff --git a/scripts/benchmark-scripts/stackcollapse-vtune.pl b/python/MooreTests/stackcollapse-vtune.pl
similarity index 100%
rename from scripts/benchmark-scripts/stackcollapse-vtune.pl
rename to python/MooreTests/stackcollapse-vtune.pl
-- 
GitLab