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ci_run_scm_rts_nvidia.yml
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name: Build CCPP-SCM.
on: [pull_request,workflow_dispatch]
jobs:
build_scm:
# The type of runner that the job will run on
runs-on: ubuntu-22.04
strategy:
matrix:
fortran-compiler: [nvfortran]
build-type: [Release]#, Debug]
enable-gpu-acc: [False, True]
py-version: [3.9.12]
# Environmental variables
env:
NETCDF: /home/runner/netcdf
bacio_ROOT: /home/runner/bacio
sp_ROOT: /home/runner/NCEPLIBS-sp
w3emc_ROOT: /home/runner/myw3emc
SCM_ROOT: /home/runner/work/ccpp-scm/ccpp-scm
zlib_ROOT: /home/runner/zlib
HDF5_ROOT: /home/runner/hdf5
suites: SCM_GFS_v15p2,SCM_GFS_v16,SCM_GFS_v17_p8,SCM_HRRR,SCM_RRFS_v1beta,SCM_RAP,SCM_WoFS_v0
suites_ps: SCM_GFS_v15p2_ps,SCM_GFS_v16_ps,SCM_GFS_v17_p8_ps,SCM_HRRR_ps,SCM_RRFS_v1beta_ps,SCM_RAP_ps,SCM_WoFS_v0_ps
# Workflow steps
steps:
#######################################################################################
# Cleanup space
#######################################################################################
- name: Check space (pre)
run: |
df -h
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: false
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: false
dotnet: false
haskell: true
large-packages: true
docker-images: false
swap-storage: false
- name: Check space (post)
run: |
df -h
#######################################################################################
# Initial
#######################################################################################
- name: Checkout SCM code (into /home/runner/work/ccpp-scm/)
uses: actions/checkout@v3
- name: Initialize submodules
run: git submodule update --init --recursive
#######################################################################################
# Python setup
#######################################################################################
- name: Set up Python
uses: actions/setup-python@v3
with:
python-version: ${{matrix.py-version}}
- name: Add conda to system path
run: |
echo $CONDA/bin >> $GITHUB_PATH
- name: Install NetCDF Python libraries
run: |
conda install --yes -c conda-forge h5py>=3.4 netCDF4 f90nml
#######################################################################################
# Install Nvidia.
#######################################################################################
- name: Nvidia setup compilers.
env:
NVCOMPILERS: /home/runner/hpc_sdk
NVARCH: Linux_x86_64
NVHPC_SILENT: true
NVHPC_INSTALL_DIR: /home/runner/hpc_sdk
NVHPC_INSTALL_TYPE: network
NVHPC_INSTALL_LOCAL_DIR: /home/runner/hpc_sdk
run: |
mkdir /home/runner/hpc_sdk && cd /home/runner/hpc_sdk
wget -q https://developer.download.nvidia.com/hpc-sdk/24.1/nvhpc_2024_241_Linux_x86_64_cuda_12.3.tar.gz
tar xpzf nvhpc_2024_241_Linux_x86_64_cuda_12.3.tar.gz
nvhpc_2024_241_Linux_x86_64_cuda_12.3/install
export PATH=${PATH}:${NVCOMPILERS}/${NVARCH}/24.1/compilers/bin
export MANPATH=${MANPATH}:${NVCOMPILERS}/${NVARCH}/24.1/compilers/man
echo "The nvfortran installed is:"
nvfortran --version
echo "The path to nvfortran is:"
command -v nvfortran
echo "Removing tarball"
rm nvhpc_2024_241_Linux_x86_64_cuda_12.3.tar.gz
echo "SWALES"
ls /home/runner/hpc_sdk/Linux_x86_64/24.1/compilers/bin/
- name: Set environment for Nvidia compiler.
run: |
echo "CC=/home/runner/hpc_sdk/Linux_x86_64/24.1/compilers/bin/nvc" >> $GITHUB_ENV
echo "FC=/home/runner/hpc_sdk/Linux_x86_64/24.1/compilers/bin/nvfortran" >> $GITHUB_ENV
echo "CMAKE_C_COMPILER=/home/runner/hpc_sdk/Linux_x86_64/24.1/compilers/bin/nvc" >> $GITHUB_ENV
echo "CMAKE_Fortran_COMPILER=/home/runner/hpc_sdk/Linux_x86_64/24.1/compilers/bin/nvfortran" >> $GITHUB_ENV
#######################################################################################
# Install FORTRAN dependencies
#######################################################################################
- name: Install zlib
env:
CFLAGS: -fPIC
run: |
wget https://github.com/madler/zlib/releases/download/v1.2.13/zlib-1.2.13.tar.gz
tar -zxvf zlib-1.2.13.tar.gz
cd zlib-1.2.13
./configure --prefix=${zlib_ROOT}
make
make install
echo "LD_LIBRARY_PATH=$zlib_ROOT/lib:$LD_LIBRARY_PATH" >> $GITHUB_ENV
- name: Install HDF5
env:
CPPFLAGS: -I${zlib_ROOT}/include
LDFLAGS: -L${zlib_ROOT}/lib
run: |
wget https://github.com/HDFGroup/hdf5/archive/refs/tags/hdf5-1_14_1-2.tar.gz
tar -zxvf hdf5-1_14_1-2.tar.gz
cd hdf5-hdf5-1_14_1-2
./configure --prefix=${HDF5_ROOT} --with-zlib=${zlib_ROOT}
make -j4
make install
echo "LD_LIBRARY_PATH=$HDF5_ROOT/lib:$LD_LIBRARY_PATH" >> $GITHUB_ENV
echo "PATH=$HDF5_ROOT/lib:$PATH" >> $GITHUB_ENV
- name: Install Curl
run: |
sudo apt-get install curl
sudo apt-get install libssl-dev libcurl4-openssl-dev
- name: Cache NetCDF C library
id: cache-netcdf-c
uses: actions/cache@v3
with:
path: /home/runner/netcdf-c
key: cache-netcdf-c-${{matrix.fortran-compiler}}-key
- name: Install NetCDF C library
if: steps.cache-netcdf-c.outputs.cache-hit != 'true'
run: |
wget https://github.com/Unidata/netcdf-c/archive/refs/tags/v4.7.4.tar.gz
tar -zvxf v4.7.4.tar.gz
cd netcdf-c-4.7.4
CPPFLAGS="-I/home/runner/hdf5/include -I/home/runner/zlib/include" LDFLAGS="-L/home/runner/hdf5/lib -L/home/runner/zlib/lib" ./configure --prefix=${NETCDF}
make
make install
echo "LD_LIBRARY_PATH=$NETCDF/lib:$LD_LIBRARY_PATH" >> $GITHUB_ENV
echo "PATH=$NETCDF/lib:$PATH" >> $GITHUB_ENV
- name: Cache NetCDF Fortran library
id: cache-netcdf-fortran
uses: actions/cache@v3
with:
path: /home/runner/netcdf-fortran
key: cache-netcdf-fortran-${{matrix.fortran-compiler}}-key
- name: Install NetCDF Fortran library
if: steps.cache-netcdf-fortran.outputs.cache-hit != 'true'
run: |
wget https://github.com/Unidata/netcdf-fortran/archive/refs/tags/v4.6.1.tar.gz
tar -zvxf v4.6.1.tar.gz
cd netcdf-fortran-4.6.1
FCFLAGS="-fPIC" FFLAGS="-fPIC" CPPFLAGS="-I/home/runner/hdf5/include -I/home/runner/zlib/include -I/home/runner/netcdf/include" LDFLAGS="-L/home/runner/hdf5/lib -L/home/runner/zlib/lib -L/home/runner/netcdf/lib" ./configure --prefix=${NETCDF}
make
make install
- name: Cache bacio library v2.4.1
id: cache-bacio-fortran
uses: actions/cache@v3
with:
path: /home/runner/bacio
key: cache-bacio-fortran-${{matrix.fortran-compiler}}-key
- name: Install bacio library v2.4.1
if: steps.cache-bacio-fortran.outputs.cache-hit != 'true'
run: |
git clone --branch v2.4.1 https://github.com/NOAA-EMC/NCEPLIBS-bacio.git bacio
cd bacio && mkdir build && cd build
cmake -DCMAKE_INSTALL_PREFIX=${bacio_ROOT} ../
make -j2
make install
echo "bacio_DIR=/home/runner/bacio/lib/cmake/bacio" >> $GITHUB_ENV
- name: Cache SP-library v2.3.3
id: cache-sp-fortran
uses: actions/cache@v3
with:
path: /home/runner/NCEPLIBS-sp
key: cache-sp-fortran-${{matrix.fortran-compiler}}-key
- name: Install SP-library v2.3.3
if: steps.cache-sp-fortran.outputs.cache-hit != 'true'
run: |
git clone --branch v2.3.3 https://github.com/NOAA-EMC/NCEPLIBS-sp.git NCEPLIBS-sp
cd NCEPLIBS-sp && mkdir build && cd build
cmake -DCMAKE_INSTALL_PREFIX=${sp_ROOT} ../
make -j2
make install
echo "sp_DIR=/home/runner/NCEPLIBS-sp/lib/cmake/sp" >> $GITHUB_ENV
- name: Cache w3emc library v2.9.2
id: cache-w3emc-fortran
uses: actions/cache@v3
with:
path: /home/runner/myw3emc
key: cache-w3emc-fortran-${{matrix.fortran-compiler}}-key
- name: Install w3emc library v2.9.2
if: steps.cache-w3emc-fortran.outputs.cache-hit != 'true'
run: |
git clone --branch v2.9.2 https://github.com/NOAA-EMC/NCEPLIBS-w3emc.git NCEPLIBS-w3emc
cd NCEPLIBS-w3emc && mkdir build && cd build
cmake -DCMAKE_INSTALL_PREFIX=${w3emc_ROOT} ../
make -j2
make install
echo "w3emc_DIR=/home/runner/myw3emc/lib/cmake/w3emc" >> $GITHUB_ENV
#######################################################################################
# Build and run SCM regression tests (ccpp-scm/test/rt_test_cases.py)
#######################################################################################
- name: Configure build with CMake
run: |
cd ${SCM_ROOT}/scm
mkdir bin && cd bin
cmake -DCCPP_SUITES=${suites},${suites_ps} -DCMAKE_BUILD_TYPE=${{matrix.build-type}} -DENABLE_NVIDIA_OPENACC=${{matrix.enable-gpu-acc}} ../src
- name: Build SCM.
run: |
cd ${SCM_ROOT}/scm/bin
make -j4
- name: Download data for SCM
run: |
cd ${SCM_ROOT}
./contrib/get_all_static_data.sh
./contrib/get_thompson_tables.sh
- name: Run SCM RTs (w/o GPU)
if: contains(matrix.enable-gpu-acc, 'False')
run: |
cd ${SCM_ROOT}/scm/bin
./run_scm.py --file /home/runner/work/ccpp-scm/ccpp-scm/test/rt_test_cases.py --runtime_mult 0.1 -v