Implement general 2D forest meshes #2343
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| name: CI short | |
| on: [pull_request] | |
| # Cancel "duplicated" workflows triggered by pushes to internal | |
| # branches with associated PRs. | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.ref }} | |
| cancel-in-progress: true | |
| env: | |
| CTEST_OUTPUT_ON_FAILURE: 1 | |
| CMAKE_BUILD_PARALLEL_LEVEL: 5 # num threads for build | |
| MACHINE_CFG: cmake/machinecfg/CI.cmake | |
| OMPI_MCA_mpi_common_cuda_event_max: 1000 | |
| jobs: | |
| style: | |
| runs-on: [self-hosted, A100] | |
| container: | |
| image: ghcr.io/parthenon-hpc-lab/cuda11.6-mpi-hdf5-ascent | |
| # map to local user id on CI machine to allow writing to build cache | |
| options: --user 1001 | |
| steps: | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: 'true' | |
| - name: cpplint | |
| run: python ./tst/style/cpplint.py --counting=detailed --recursive src example tst | |
| - name: copyright | |
| run: | | |
| cmake -DCMAKE_CXX_FLAGS=-Werror -Bbuild-copyright-check | |
| cmake --build build-copyright-check -t check-copyright | |
| - uses: actions/upload-artifact@v3 | |
| with: | |
| name: configure-log-style | |
| path: build-copyright-check/CMakeFiles/CMakeOutput.log | |
| retention-days: 3 | |
| unit: | |
| strategy: | |
| matrix: | |
| device: ['cuda', 'host'] | |
| runs-on: [self-hosted, A100] | |
| container: | |
| image: ghcr.io/parthenon-hpc-lab/cuda11.6-mpi-hdf5-ascent | |
| # map to local user id on CI machine to allow writing to build cache | |
| options: --user 1001 | |
| steps: | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: 'true' | |
| - name: Configure | |
| run: | | |
| cmake -B build \ | |
| -DCMAKE_BUILD_TYPE=Debug \ | |
| -DMACHINE_VARIANT=${{ matrix.device }}-mpi | |
| - name: Build | |
| run: cmake --build build | |
| - name: Test | |
| run: | | |
| cd build | |
| # Pick GPU with most available memory | |
| export CUDA_VISIBLE_DEVICES=$(nvidia-smi --query-gpu=memory.free,index --format=csv,nounits,noheader | sort -nr | head -1 | awk '{ print $NF }') | |
| ctest -LE 'performance|regression' | |
| - uses: actions/upload-artifact@v3 | |
| with: | |
| name: configure-log-unit-${{ matrix.device }} | |
| path: build/CMakeFiles/CMakeOutput.log | |
| retention-days: 3 | |
| integration: | |
| strategy: | |
| matrix: | |
| device: ['cuda', 'host'] | |
| runs-on: [self-hosted, A100] | |
| container: | |
| image: ghcr.io/parthenon-hpc-lab/cuda11.6-mpi-hdf5-ascent | |
| # map to local user id on CI machine to allow writing to build cache | |
| options: --user 1001 | |
| steps: | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: 'true' | |
| - name: Configure | |
| run: | | |
| cmake -B build \ | |
| -DCMAKE_BUILD_TYPE=Release \ | |
| -DMACHINE_VARIANT=${{ matrix.device }}-mpi | |
| # Test example with "variables" and output | |
| - name: advection | |
| run: | | |
| cmake --build build -t advection-example | |
| cd build | |
| # Pick GPU with most available memory | |
| export CUDA_VISIBLE_DEVICES=$(nvidia-smi --query-gpu=memory.free,index --format=csv,nounits,noheader | sort -nr | head -1 | awk '{ print $NF }') | |
| ctest -R regression_mpi_test:output_hdf5 | |
| # Test example with swarms | |
| - name: particle-leapfrog | |
| run: | | |
| cmake --build build -t particle-leapfrog | |
| cd build | |
| # Pick GPU with most available memory | |
| export CUDA_VISIBLE_DEVICES=$(nvidia-smi --query-gpu=memory.free,index --format=csv,nounits,noheader | sort -nr | head -1 | awk '{ print $NF }') | |
| ctest -R regression_mpi_test:particle_leapfrog | |
| # Now testing if there are no hidden memcopies between host and device. | |
| # Using a static grid (i.e., not AMR) as additional transfers are expected | |
| # during loadbalance and refinement, but not for a static grid. We also need to | |
| # turn off sparse, since sparse results in additional transfers. | |
| # Also delaying start as there are explicit copies during initialization, e.g., | |
| # when the Variable caches are created. | |
| - name: host-device-copy | |
| if: ${{ matrix.device }} == 'cuda' | |
| run: | | |
| cd build | |
| nsys profile --delay=5 --duration=5 --stats=true -s none -t cuda example/advection/advection-example \ | |
| -i ../tst/regression/test_suites/advection_performance/parthinput.advection_performance \ | |
| parthenon/mesh/nx1=128 parthenon/mesh/nx2=128 parthenon/mesh/nx3=128 \ | |
| parthenon/meshblock/nx1=64 parthenon/meshblock/nx2=64 parthenon/meshblock/nx3=64 \ | |
| parthenon/sparse/enable_sparse=false parthenon/time/nlim=200000 parthenon/time/tlim=200 2>&1 | tee profile.txt | |
| if grep HtoD profile.txt; then exit 1; fi | |
| if grep DtoH profile.txt; then exit 1; fi | |
| - uses: actions/upload-artifact@v3 | |
| with: | |
| name: configure-log-integration-${{ matrix.device }} | |
| path: | | |
| build/CMakeFiles/CMakeOutput.log | |
| build/profile.txt | |
| retention-days: 3 | |