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This project is mirrored from https://gitlab.cern.ch/gaudi/Gaudi.git. Pull mirroring updated .
  • GAUDI/GAUDI_v23r8
  • GaudiCoreSvc/v1r4
  • v23r8
  • Gaudi/v23r8
  • GaudiAlg/v14r5
  • GaudiCommonSvc/v1r5
  • GaudiExamples/v23r8
  • GaudiKernel/v28r7
  • GaudiMonitor/v3r3
  • GaudiPolicy/v12r6
  • GaudiPython/v12r6
  • GaudiRelease/v23r8
  • GaudiSys/v23r8
  • GaudiUtils/v4r5
  • v0.5-ref1304
    Tag notes
    
    o Fixes:
     - DataFlowManager: remove segfault due to improper use of bitsets
     - Cmake: Treat Root as all other externals
     - HiveEventLoopMgr: (legacy component): check for WB existence and not DataSvc only
     - AIDA: properly found also with the new externals infrastructure
     - HiveReadAlgorithm: Can be used also with old Gaudi infrastructure
    
    o ForwardScheduler: Improved output info in case of stall.
    
    o HiveWhiteBoard: use recursive mutex instead of a spin mutex in order to
    support MiniBrunel.
    
    o HiveSlimEventLoopMgr: run the 1st event alone even if multiple events in
    flight are selected (eases measurements since some loading happens in
    minibrunel at the first event). Add per event RSS and timing measurements.
    
    o IDataSvc: allow to pass a particular IDataProviderSvc in order to properly
    use the slots in the whiteboard.
    
    o MDF input: It is now possible to read multiple events simultaneously starting
    from MDF files. RawDataAddresses now do not share the same buffer for banks.
    The fix (code mainly from M. Frank) consists in the following steps:
      1) StreamBuffer class: add an adopt 'method' which corresponds to the 'data'
      one but passing the ownership of the banks to the client
      2) RawDataAddress class: add an adoptData method which corresponds to the
      setData one. If data is adopted, the destructor of the class will trigger the
      deletion of the data
      3) RawDataSelector class: add a flag to decide if the data is to be adopted
      by the address or not. It should be an option in the future.
      4) MDFSelector class: wire into the method getDataSpace the buffer adoption.
      As for 3, this should be dynamically chosable.
    As for the ROOT I/O, the createAddress and next methods of the selector must be
    called serially and in this order! In any case, this is ensured by the
    structure of the HiveSlimEventLoopManager.
    
    o DetDataSvc: Replace the DataSvc with a version with thread safe retrieve
    methods:'TsDataSvc'. The DetDataSvc inherits from this TS version of DataSvc.
    The RegistryEntry had to be made friend of this new svc. Recusrive lock is used
    given the "richness" of the IDataManager interface. Reentrant methods should be
    identified and recursive lock eliminated in favour of a rapid spin lock
    (or no lock at all?)
    
    o TimerForSequencer: Eliminate doubles to accumulate statistics in favour of
    uint64_t-s. Add sigma of the timing measurements
    
    o CPUCruncher scenario for MiniBrunel
    
    o First iteration of coding conventions
  • v0.5-ref1303
    Tag notes:
    
    o Algorithm class modified in order to store the algorithm type, store the data
    dependencies in form of data object handles, host the event context, switch to
    the correct whiteboard slot in presence of the event context in sysExecute.
    
    o HiveWhiteBoard service added. This service acts as a "manyfold" event store
    and allows the treatment of multiple events simultaneously. It provides thread
    safe object registration and access.
    
    o HiveFwdSchedulerSvc added. Implementing the IScheduler interface,
    this service is a simple state machine which takes
    care of the submission of the algorithms (wrapped in a AlgoExecutionTask)
    to the TBB runtime according to the presence of their data dependencies and
    decisions linked to the control flow. Two helper classes are used to achieve
    this goal, the DataFlowManager and the ControlFlowManager.
    
    o AlgResourcePool service added. Provides algorithms instances and clones.
    Manages the states of the algorithms (calls to initialise, resetExecuted,
    finalize...). It "flattens" the top algorithms list and deduces the control
    flow from the sequencers provided.
    
    o HiveSlimEventLoopMgr class added. This is a simple version of the
    eventLoopMgr which just acts as an event factory and communicate with the
    scheduler svc via the IScheduler interface.
    
    o HiveReadAlgorithm algorithm added. A fundamental piece to achieve forward
    scheduling. With no data nor control flow dependencies, this algorithm is used
    to preload the content of an input file into the whiteboard.
    
    o DataObjectHandler class added. It allows the declaration of the input and
    output data objects of an algorithm.
    
    o concurrentRun.exe executable added to avoid to steer the application
    execution with Python.
    
    o CPUCruncher algorithm added. It crunches CPU for a certain amount of time
    finding prime numbers using an inefficient algorithm. It is calibrated to emulate
    a real machine load.
    
    o HiveEventLoopMgr class added. Legacy: the class was part of the very first
    prototype, able only to run CPUCrunchers. It is in the repository to perform
    comparisons and reproduce the old results if needed.
    
    o Athena Reco, Brunel and CMSSW Reco scenarios added. Emulate these real
    workflows with number crunching algorithms. Necessary to study  the projected
    application behaviour.
    
    o InertMsgSvc service added. A thread safe, lightweight msg service not using
    the TBB runtime.
    
    o compareRootHistos.py refurbished, made faster (no pvalues spurious
    recalculation) and and able to compare histograms bin by bin.
    
    o SeqSchedSvc service added. A scheduler that schedules sequentially the
    algorithms. It works with the HiveSlimEventLoopMgr for testing purposes.
  • GAUDI/GAUDI_v23r7
  • Gaudi/v23r7
  • GaudiExamples/v23r7
  • GaudiKernel/v28r6