Adding intel-oriented container for simpletrack

.gitlab-ci.yml

@@ -14,3 +14,4 @@ build:image:
   script:
   - echo "{\"auths\":{\"$CI_REGISTRY\":{\"username\":\"$CI_REGISTRY_USER\",\"password\":\"$CI_REGISTRY_PASSWORD\"}}}" > /kaniko/.docker/config.json
   - /kaniko/executor --context $CI_PROJECT_DIR --dockerfile $CI_PROJECT_DIR/lhc/simpletrack/Dockerfile.nvidia --destination ${CI_REGISTRY_IMAGE}/lhc/simpletrack:nvidia-latest
+  - /kaniko/executor --context $CI_PROJECT_DIR --dockerfile $CI_PROJECT_DIR/lhc/simpletrack/Dockerfile.intel  --destination ${CI_REGISTRY_IMAGE}/lhc/simpletrack:intel-latest

lhc/simpletrack/Dockerfile.intel

+FROM docker.io/intelopencl/intel-opencl:centos-7-copr
+
+ENV PARTICLES 20000
+ENV TURNS 15
+ENV DEVICE "0.0"
+
+RUN yum install -y python3 python3-devel python3-pip git gcc && pip3 install pyopencl \
+    && mkdir /.cache && chmod -R 777 /.cache/ \
+    && git clone https://github.com/rdemaria/simpletrack \
+    && cd simpletrack && pip3 install -e .
+
+ENTRYPOINT [ "/bin/bash", "-c", "cd /simpletrack/examples/lhc/ && python3 benchmark_opencl.py -p $PARTICLES -t $TURNS -d $DEVICE" ]

lhc/simpletrack/README.md

+# SimpleTrack
+
+Docker images meant to build versions with the simpletrack benchmark for nvidia GPU and intel runtimes.
+
+* __Nvidia__: To run the benchmark through the container image entrypoint make sure to enable GPU passthrough.
+
+```
+~$ docker run --rm --gpus all gitlab-registry.cern.ch/hep-benchmarks/hep-workloads-gpu/lhc/simpletrack:nvidia-latest
+```
+
+* __Intel__: Make sure to passthrough the /dev/dri into the container.
+
+```
+~$ docker run --rm --device /dev/dri:/dev/dri gitlab-registry.cern.ch/hep-benchmarks/hep-workloads-gpu/lhc/simpletrack:intel-latest
+```