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cuda.yml
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name: 🐧 CUDA
on: [push, pull_request]
concurrency:
group: ${{ github.ref }}-${{ github.head_ref }}-cuda
cancel-in-progress: true
jobs:
# Ref.:
# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/ubuntu18.04/10.1/base/Dockerfile
# https://github.com/ComputationalRadiationPhysics/picongpu/blob/0.5.0/share/picongpu/dockerfiles/ubuntu-1604/Dockerfile
# https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/
build_nvcc:
name: NVCC 11.3 SP
runs-on: ubuntu-20.04
if: github.event.pull_request.draft == false
env:
CXXFLAGS: "-Werror"
CMAKE_GENERATOR: Ninja
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
name: Install Python
with:
python-version: '3.x'
- name: install dependencies
run: |
.github/workflows/dependencies/nvcc11-3.sh
- name: CCache Cache
uses: actions/cache@v4
with:
path: ~/.cache/ccache
key: ccache-${{ github.workflow }}-${{ github.job }}-git-${{ github.sha }}
restore-keys: |
ccache-${{ github.workflow }}-${{ github.job }}-git-
- name: install openPMD-api
run: |
export CCACHE_COMPRESS=1
export CCACHE_COMPRESSLEVEL=10
export CCACHE_MAXSIZE=600M
ccache -z
export CEI_SUDO="sudo"
export CEI_TMP="/tmp/cei"
export PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}
which nvcc || echo "nvcc not in PATH!"
cmake-easyinstall --prefix=/usr/local \
git+https://github.com/openPMD/[email protected] \
-DopenPMD_USE_PYTHON=OFF \
-DBUILD_TESTING=OFF \
-DBUILD_EXAMPLES=OFF \
-DBUILD_CLI_TOOLS=OFF \
-DCMAKE_CXX_COMPILER_LAUNCHER=$(which ccache) \
-DCMAKE_VERBOSE_MAKEFILE=ON
cmake-easyinstall --prefix=/usr/local \
git+https://github.com/icl-utk-edu/[email protected] \
-DCMAKE_CXX_COMPILER_LAUNCHER=$(which ccache) \
-DCMAKE_CXX_STANDARD=17 -DHeffte_ENABLE_DOXYGEN=OFF \
-DHeffte_ENABLE_FFTW=OFF -DHeffte_ENABLE_TESTING=OFF \
-DHeffte_ENABLE_CUDA=ON -DHeffte_ENABLE_ROCM=OFF \
-DHeffte_ENABLE_ONEAPI=OFF -DHeffte_ENABLE_MKL=OFF \
-DHeffte_ENABLE_PYTHON=OFF -DHeffte_ENABLE_FORTRAN=OFF \
-DHeffte_ENABLE_MAGMA=OFF \
-DCMAKE_VERBOSE_MAKEFILE=ON
- name: build WarpX
run: |
export CCACHE_COMPRESS=1
export CCACHE_COMPRESSLEVEL=10
export CCACHE_MAXSIZE=600M
export PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}
which nvcc || echo "nvcc not in PATH!"
cmake -S . -B build_sp \
-DCMAKE_VERBOSE_MAKEFILE=ON \
-DWarpX_COMPUTE=CUDA \
-DWarpX_EB=ON \
-DWarpX_PYTHON=ON \
-DAMReX_CUDA_ARCH=6.0 \
-DWarpX_OPENPMD=ON \
-DWarpX_openpmd_internal=OFF \
-DWarpX_PRECISION=SINGLE \
-DWarpX_FFT=ON \
-DWarpX_HEFFTE=ON \
-DAMReX_CUDA_ERROR_CROSS_EXECUTION_SPACE_CALL=ON \
-DAMReX_CUDA_ERROR_CAPTURE_THIS=ON
cmake --build build_sp -j 4
python3 -m pip install --upgrade pip
python3 -m pip install --upgrade build packaging setuptools wheel
export WARPX_MPI=ON
export PYWARPX_LIB_DIR=$PWD/build_sp/lib/site-packages/pywarpx/
python3 -m pip wheel .
python3 -m pip install *.whl
ccache -s
du -hs ~/.cache/ccache
# make sure legacy build system continues to build, i.e., that we don't forget
# to add new .cpp files
build_nvcc_gnumake:
name: NVCC 11.8.0 GNUmake
runs-on: ubuntu-20.04
if: github.event.pull_request.draft == false
steps:
- uses: actions/checkout@v4
- name: install dependencies
run: |
.github/workflows/dependencies/nvcc11-8.sh
- name: CCache Cache
uses: actions/cache@v4
with:
path: ~/.cache/ccache
key: ccache-${{ github.workflow }}-${{ github.job }}-git-${{ github.sha }}
restore-keys: |
ccache-${{ github.workflow }}-${{ github.job }}-git-
- name: build WarpX
run: |
export CCACHE_COMPRESS=1
export CCACHE_COMPRESSLEVEL=10
export CCACHE_MAXSIZE=600M
ccache -z
export PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}
which nvcc || echo "nvcc not in PATH!"
git clone https://github.com/AMReX-Codes/amrex.git ../amrex
cd ../amrex && git checkout --detach 3734079379bb6b2a3850d197241f6b2c3b3bfa7d && cd -
make COMP=gcc QED=FALSE USE_MPI=TRUE USE_GPU=TRUE USE_OMP=FALSE USE_FFT=TRUE USE_CCACHE=TRUE -j 4
ccache -s
du -hs ~/.cache/ccache
build_nvhpc24-1-nvcc:
name: [email protected] NVCC/NVC++ Release [tests]
runs-on: ubuntu-20.04
if: github.event.pull_request.draft == false
#env:
# # For NVHPC, Ninja is slower than the default:
# CMAKE_GENERATOR: Ninja
steps:
- uses: actions/checkout@v4
- name: Dependencies
run: .github/workflows/dependencies/nvhpc.sh
- name: CCache Cache
uses: actions/cache@v4
with:
path: ~/.cache/ccache
key: ccache-${{ github.workflow }}-${{ github.job }}-git-${{ github.sha }}
restore-keys: |
ccache-${{ github.workflow }}-${{ github.job }}-git-
- name: Build & Install
run: |
export CCACHE_COMPRESS=1
export CCACHE_COMPRESSLEVEL=10
export CCACHE_MAXSIZE=600M
ccache -z
source /etc/profile.d/modules.sh
module load /opt/nvidia/hpc_sdk/modulefiles/nvhpc/24.1
which nvcc || echo "nvcc not in PATH!"
which nvc++ || echo "nvc++ not in PATH!"
which nvc || echo "nvc not in PATH!"
nvcc --version
nvc++ --version
nvc --version
cmake --version
export CC=$(which nvc)
export CXX=$(which nvc++)
export CUDACXX=$(which nvcc)
export CUDAHOSTCXX=${CXX}
cmake -S . -B build \
-DCMAKE_VERBOSE_MAKEFILE=ON \
-DWarpX_COMPUTE=CUDA \
-DWarpX_EB=ON \
-DWarpX_PYTHON=OFF \
-DAMReX_CUDA_ARCH=8.0 \
-DWarpX_OPENPMD=ON \
-DWarpX_FFT=ON \
-DAMReX_CUDA_ERROR_CROSS_EXECUTION_SPACE_CALL=ON \
-DAMReX_CUDA_ERROR_CAPTURE_THIS=ON
cmake --build build -j 4
# work-around for mpi4py 3.1.1 build system issue with using
# a GNU-built Python executable with non-GNU Python modules
# https://github.com/mpi4py/mpi4py/issues/114
#export CFLAGS="-noswitcherror"
#python3 -m pip install --upgrade pip
#python3 -m pip install --upgrade build packaging setuptools wheel
#export WARPX_MPI=ON
#export PYWARPX_LIB_DIR=$PWD/build/lib/site-packages/pywarpx/
#python3 -m pip wheel .
#python3 -m pip install *.whl
ccache -s
du -hs ~/.cache/ccache