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‎.github/workflows/standalone-benchmark.yml‎

Lines changed: 29 additions & 40 deletions
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@@ -9,6 +9,14 @@ on:
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jobs:
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benchmark:
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env:
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ALIBUILD_ARCH_PREFIX: el9-x86_64/Packages
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ARTIFACT_FILE: /root/artifact.txt
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LD_LIBRARY_PATH: /usr/local/cuda-13.0/compat
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MODULEPATH: /cvmfs/alice.cern.ch/etc/toolchain/modulefiles/el9-x86_64:/cvmfs/alice.cern.ch/el9-x86_64/Modules/modulefiles
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STANDALONE_DIR: /root/standalone
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WORK_DIR: /cvmfs/alice.cern.ch
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runs-on: ${{ matrix.runner }}
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container: registry.cern.ch/alisw/slc9-gpu-builder@sha256:ea3443f9dfbc770e4b4bce0d1a9ecc0b7a7c16e9f76e416b796d170877220820
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strategy:
@@ -19,92 +27,73 @@ jobs:
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- name: nvidia-h100
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runner: cern-nextgen-h100
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cmake_args: -DENABLE_CUDA=1 -DENABLE_HIP=0 -DCUDA_COMPUTETARGET=90
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ca_args: --gpuType CUDA
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- name: nvidia-l40s
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runner: cern-nextgen-l40s
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cmake_args: -DENABLE_CUDA=1 -DENABLE_HIP=0 -DCUDA_COMPUTETARGET=89
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ca_args: --gpuType CUDA
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- name: amd-mi300x
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runner: cern-nextgen-mi300x
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cmake_args: -DENABLE_CUDA=0 -DENABLE_HIP=1 -DHIP_AMDGPUTARGET=gfx942
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ca_args: --gpuType HIP
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- name: amd-w7900
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runner: cern-nextgen-w7900
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cmake_args: -DENABLE_CUDA=0 -DENABLE_HIP=1 -DHIP_AMDGPUTARGET=gfx1100
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ca_args: --gpuType HIP
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name: ${{ matrix.name }}
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steps:
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- name: Checkout Repository
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uses: actions/checkout@v4
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- name: Download Files
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run: |
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mkdir -p ${STANDALONE_DIR}
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mkdir -p ${STANDALONE_DIR}/events
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curl -v -o ${STANDALONE_DIR}/events/50kHz.tar.xz https://cernbox.cern.ch/remote.php/dav/public-files/SfYXgQOHFga2w75/events/50kHz.tar.xz
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tar -xf ${STANDALONE_DIR}/events/50kHz.tar.xz -C ${STANDALONE_DIR}/events
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curl -v -o ${STANDALONE_DIR}/o2-simple-GPU.out https://cernbox.cern.ch/remote.php/dav/public-files/SfYXgQOHFga2w75/o2-simple-GPU.out
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env:
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STANDALONE_DIR: /root/standalone
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- name: Build Deterministic
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run: &build |
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source /etc/profile.d/modules.sh
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module load ninja/fortran-v1.11.1.g9-15 Vc/1.4.5-10 boost/v1.83.0-alice2-57 fmt/11.1.2-14 CMake/v3.31.6-10 ms_gsl/4.2.1-3 Clang/v20.1.7-9 TBB/v2022.3.0-3 ROOT/v6-36-04-alice9-15 ONNXRuntime/v1.22.0-71 GLFW/3.3.2-25
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mkdir -p ${STANDALONE_DIR}
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cmake -B ${STANDALONE_DIR}/build ${{ matrix.cmake_args }} -DENABLE_OPENCL=0 -DGPUCA_BUILD_EVENT_DISPLAY=0 -DGPUCA_DETERMINISTIC_MODE=${DETERMINISTIC_MODE} -DCMAKE_INSTALL_PREFIX=${STANDALONE_DIR} ${GITHUB_WORKSPACE}/GPU/GPUTracking/Standalone/
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cmake --build ${STANDALONE_DIR}/build --target install -j 8
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env:
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DETERMINISTIC_MODE: GPU
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WORK_DIR: /cvmfs/alice.cern.ch
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ALIBUILD_ARCH_PREFIX: el9-x86_64/Packages
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MODULEPATH: /cvmfs/alice.cern.ch/etc/toolchain/modulefiles/el9-x86_64:/cvmfs/alice.cern.ch/el9-x86_64/Modules/modulefiles
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STANDALONE_DIR: /root/standalone
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LD_LIBRARY_PATH: /usr/local/cuda-13.0/compat
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- name: Download Small Event File
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run: &download |
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mkdir -p ${STANDALONE_DIR}/events
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curl -o ${STANDALONE_DIR}/events/${EVENT_FILE}.tar.xz https://cernbox.cern.ch/remote.php/dav/public-files/SfYXgQOHFga2w75/events/${EVENT_FILE}.tar.xz
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tar -xf ${STANDALONE_DIR}/events/${EVENT_FILE}.tar.xz -C ${STANDALONE_DIR}/events
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ls -la ${STANDALONE_DIR}/events/o2-simple
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env:
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EVENT_FILE: o2-simple
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- name: Test
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run: |
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source /etc/profile.d/modules.sh
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module load ninja/fortran-v1.11.1.g9-15 Vc/1.4.5-10 boost/v1.83.0-alice2-57 fmt/11.1.2-14 CMake/v3.31.6-10 ms_gsl/4.2.1-3 Clang/v20.1.7-9 TBB/v2022.3.0-3 ROOT/v6-36-04-alice9-15 ONNXRuntime/v1.22.0-71 GLFW/3.3.2-25
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${STANDALONE_DIR}/ca -e o2-simple -g --seed 0 --memSize 20000000000 --sync --runs 1 --RTCenable --PROCdeterministicGPUReconstruction 1 --RTCoptSpecialCode 1 --RTCoptConstexpr 1 --debug 6 ${{ matrix.ca_args }}
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ls -la ${STANDALONE_DIR}/events/o2-simple
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${STANDALONE_DIR}/ca -e o2-simple -g --seed 0 --memSize 20000000000 --sync --runs 1 --RTCenable --PROCdeterministicGPUReconstruction 1 --RTCoptSpecialCode 1 --RTCoptConstexpr 1 --debug 6
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curl -v -o ${STANDALONE_DIR}/o2-simple-GPU.out https://cernbox.cern.ch/remote.php/dav/public-files/SfYXgQOHFga2w75/o2-simple-GPU.out
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cmp ${STANDALONE_DIR}/GPU.out ${STANDALONE_DIR}/o2-simple-GPU.out
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rm -rf ${STANDALONE_DIR}/GPU.out ${STANDALONE_DIR}/o2-simple-GPU.out ${STANDALONE_DIR}/build
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env:
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WORK_DIR: /cvmfs/alice.cern.ch
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ALIBUILD_ARCH_PREFIX: el9-x86_64/Packages
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MODULEPATH: /cvmfs/alice.cern.ch/etc/toolchain/modulefiles/el9-x86_64:/cvmfs/alice.cern.ch/el9-x86_64/Modules/modulefiles
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STANDALONE_DIR: /root/standalone
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LD_LIBRARY_PATH: /usr/local/cuda-13.0/compat
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EVENT_FILE: o2-simple
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- name: Build Non-Deterministic
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run: *build
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env:
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DETERMINISTIC_MODE: OFF
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WORK_DIR: /cvmfs/alice.cern.ch
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ALIBUILD_ARCH_PREFIX: el9-x86_64/Packages
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MODULEPATH: /cvmfs/alice.cern.ch/etc/toolchain/modulefiles/el9-x86_64:/cvmfs/alice.cern.ch/el9-x86_64/Modules/modulefiles
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STANDALONE_DIR: /root/standalone
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LD_LIBRARY_PATH: /usr/local/cuda-13.0/compat
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- name: Download Large Event File
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run: *download
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env:
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EVENT_FILE: 50kHz
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- name: Benchmark
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run: |
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source /etc/profile.d/modules.sh
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module load ninja/fortran-v1.11.1.g9-15 Vc/1.4.5-10 boost/v1.83.0-alice2-57 fmt/11.1.2-14 CMake/v3.31.6-10 ms_gsl/4.2.1-3 Clang/v20.1.7-9 TBB/v2022.3.0-3 ROOT/v6-36-04-alice9-15 ONNXRuntime/v1.22.0-71 GLFW/3.3.2-25
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${STANDALONE_DIR}/ca -e 50kHz -g --seed 0 --memSize 15000000000 --sync --runs 1 --RTCenable --RTCoptSpecialCode 1 --RTCoptConstexpr 1 --debug 1 ${{ matrix.ca_args }} > ${ARTIFACT_FILE}
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${STANDALONE_DIR}/ca -e 50kHz -g --memSize 15000000000 --sync --runs 1 --RTCenable --RTCoptSpecialCode 1 --RTCoptConstexpr 1 --debug 1 > ${ARTIFACT_FILE}
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rm -rf ${STANDALONE_DIR}/events ${STANDALONE_DIR}/build
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env:
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WORK_DIR: /cvmfs/alice.cern.ch
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ALIBUILD_ARCH_PREFIX: el9-x86_64/Packages
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MODULEPATH: /cvmfs/alice.cern.ch/etc/toolchain/modulefiles/el9-x86_64:/cvmfs/alice.cern.ch/el9-x86_64/Modules/modulefiles
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STANDALONE_DIR: /root/standalone
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ARTIFACT_FILE: /root/artifact.txt
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LD_LIBRARY_PATH: /usr/local/cuda-13.0/compat
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- name: Upload Artifact
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uses: actions/upload-artifact@v4

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