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meshFields

GPU friendly unstructured mesh field storage and interface

build dependencies for GPU

The following commands were tested on a SCOREC workstation running RHEL9 with a Nvidia Ampere GPU.

cd to a working directory that will contain all your source code (including this directory) and build directories. That directory is referred to as root in the following bash scripts.

Create a file named envRhel9_ampere.sh with the following contents:

export root=$PWD 
module use /opt/scorec/spack/rhel9/v0201_4/lmod/linux-rhel9-x86_64/Core/
module load gcc/12.3.0-iil3lno mpich/4.1.1-xpoyz4t cuda/12.1.1-zxa4msk

function getname() {
  name=$1
  machine=`hostname -s`
  buildSuffix=${machine}-cuda
  echo "build-${name}-${buildSuffix}"
}
export kk=$root/`getname kokkos`/install
export oh=$root/`getname omegah`/install
export cab=$root/`getname cabana`/install
export CMAKE_PREFIX_PATH=$kk:$kk/lib64/cmake:$oh:$cab:$CMAKE_PREFIX_PATH

cm=`which cmake`
echo "cmake: $cm"
echo "kokkos install dir: $kk"

Create a file named buildAll_ampere.sh with the following contents:

#!/bin/bash -e

#kokkos
cd $root
#tested with kokkos develop@9dff8cc
git clone -b develop [email protected]:kokkos/kokkos.git
mkdir -p $kk
cd $_/..
cmake ../kokkos \
  -DCMAKE_CXX_COMPILER=$root/kokkos/bin/nvcc_wrapper \
  -DKokkos_ARCH_AMPERE86=ON \
  -DKokkos_ENABLE_SERIAL=ON \
  -DKokkos_ENABLE_OPENMP=off \
  -DKokkos_ENABLE_CUDA=on \
  -DKokkos_ENABLE_CUDA_LAMBDA=on \
  -DKokkos_ENABLE_DEBUG=on \
  -DKokkos_ENABLE_PROFILING=on \
  -DCMAKE_INSTALL_PREFIX=$PWD/install
make -j 24 install

#omegah
cd $root
git clone [email protected]:scorec/omega_h.git
[ -d $oh ] && rm -rf ${oh%%install}
mkdir -p $oh 
cd ${oh%%install}
cmake ../omega_h \
  -DCMAKE_INSTALL_PREFIX=$oh \
  -DBUILD_SHARED_LIBS=OFF \
  -DOmega_h_USE_Kokkos=ON \
  -DOmega_h_USE_CUDA=on \
  -DOmega_h_CUDA_ARCH=86 \
  -DOmega_h_USE_MPI=OFF  \
  -DBUILD_TESTING=on  \
  -DCMAKE_CXX_COMPILER=g++ \
  -DKokkos_PREFIX=$kk/lib64/cmake
make VERBOSE=1 -j8 install
ctest

#cabana
cd $root
git clone [email protected]:ECP-copa/Cabana.git cabana
[ -d $cab ] && rm -rf ${cab%%install}
mkdir -p $cab
cd ${cab%%install}
cmake ../cabana \
  -DCMAKE_BUILD_TYPE="Debug" \
  -DCMAKE_CXX_COMPILER=$root/kokkos/bin/nvcc_wrapper \
  -DCabana_ENABLE_MPI=OFF \
  -DCabana_ENABLE_CAJITA=OFF \
  -DCabana_ENABLE_TESTING=OFF \
  -DCabana_ENABLE_EXAMPLES=OFF \
  -DCabana_ENABLE_Cuda=ON \
  -DCMAKE_INSTALL_PREFIX=$cab
make -j 24 install

Make the script executable:

chmod +x buildAll_ampere.sh

Source the environment script from this work directory:

source envRhel9_ampere.sh

Run the build script:

./buildAll_ampere.sh

build dependencies for CPU

This build serves to help debugging, check for memory leaks via valgrind, and run tests for coverage. GPU code is not registered as having been run by GCOV and subsequently LCOV.

cd to a working directory that will contain all your source code (including this directory) and build directories. That directory is referred to as root in the following bash scripts.

Create a file named envCpu.sh with the following contents:

export root=$PWD
module use /opt/scorec/spack/rhel9/v0201_4/lmod/linux-rhel9-x86_64/Core/
module load gcc/12.3.0-iil3lno mpich/4.1.1-xpoyz4t 

function getname() {
  name=$1
  machine=`hostname -s`
  buildSuffix=${machine}-cpu
  echo "build-${name}-${buildSuffix}"
}
export kkCpu=$root/`getname kokkos`/install
export ohCpu=$root/`getname omegah`/install
export cabCpu=$root/`getname cabana`/install
CMAKE_PREFIX_PATH=$kkCpu:$kkCpu/lib64/cmake:$ohCpu:$cabCpu:$CMAKE_PREFIX_PATH
cm=`which cmake`
echo "cmake: $cm"
echo "kokkos install dir: $kkCpu"

Create a file named buildAllCpu.sh with the following contents: (git clone commands for kokkos, cabana, and omegah are commented out as it is assumed you have created a GPU build previously.)

#!/bin/bash -e
#kokkos
cd $root
#tested with kokkos develop@9dff8cc
git clone -b develop https://github.com/kokkos/kokkos.git
mkdir -p $kkCpu
cd $_/..
cmake ../kokkos \
  -DCMAKE_CXX_COMPILER=g++ \
  -DKokkos_ENABLE_SERIAL=ON \
  -DKokkos_ENABLE_OPENMP=off \
  -DKokkos_ENABLE_DEBUG=on \
  -DKokkos_ENABLE_PROFILING=on \
  -DCMAKE_INSTALL_PREFIX=$PWD/install
make -j 24 install
#omegah
cd $root
git clone [email protected]:scorec/omega_h.git
[ -d $ohCpu ] && rm -rf ${ohCpu%%install}
mkdir -p $ohCpu
cd ${ohCpu%%install}
cmake ../omega_h \
  -DCMAKE_INSTALL_PREFIX=$ohCpu \
  -DBUILD_SHARED_LIBS=OFF \
  -DOmega_h_USE_Kokkos=ON \
  -DOmega_h_USE_MPI=OFF  \
  -DBUILD_TESTING=on  \
  -DCMAKE_CXX_COMPILER=g++ \
  -DKokkos_PREFIX=$kkCpu/lib64/cmake
make VERBOSE=1 -j8 install
ctest
#cabana
cd $root
git clone https://github.com/ECP-copa/Cabana.git cabana
[ -d $cabCpu ] && rm -rf ${cabCpu%%install}
mkdir -p $cabCpu
cd ${cabCpu%%install}
cmake ../cabana \
  -DCMAKE_BUILD_TYPE="Debug" \
  -DCMAKE_CXX_COMPILER=g++ \
  -DCabana_ENABLE_MPI=OFF \
  -DCabana_ENABLE_CAJITA=OFF \
  -DCabana_ENABLE_TESTING=OFF \
  -DCabana_ENABLE_EXAMPLES=OFF \
  -DCMAKE_INSTALL_PREFIX=$cabCpu
make -j 24 install

Make the script executable:

chmod +x buildAllCpu.sh

Source the environment script from this work directory:

source envCpu.sh

Run the build script:

./buildAllCpu.sh

build meshFields

The following assumes that the environment is already setup (see above, either CPU or GPU) and the root directory is the same directory used to build the dependencies.

cd $root
git clone [email protected]:SCOREC/meshFields
cmake -S meshFields -B build-meshFields-[CPU|GPU]
cmake --build build-meshFields-[CPU|GPU]

rebuild meshFields

The following assumes that (1) the environment is already setup (see above) and the root directory is the same directory used to build the dependencies and (2) that meshFields was previously built.

Use the following command to rebuild meshFields after making changes to its source code. This command should be run from the $root directory.

cmake --build build-meshFields-cuda 

run meshFields tests

The following assumes that (1) the environment is already setup (see above) and the root directory is the same directory used to build the dependencies and (2) that meshFields was previously built.

cmake --build build-meshFields-cuda --target test

Alternatively, you can cd into the build directory and run ctest directly:

cd build-meshFields-cuda 
ctest

build and run meshFields tests on CPU for coverage

See

- name: MeshFields Configure CMake
shell: bash
run: cmake -S $GITHUB_WORKSPACE/meshFields -B ${{runner.workspace}}/build-meshFields
-D meshFields_ENABLE_COVERAGE_BUILD=ON
-D CMAKE_BUILD_TYPE=${{matrix.build_type}}
-DKokkos_DIR=${{runner.workspace}}/build-kokkos/install/lib/cmake/Kokkos
-DCabana_DIR=${{runner.workspace}}/build-cabana/install/lib/cmake/Cabana
-DOmega_h_DIR=${{runner.workspace}}/build-omegah/install/lib/cmake/Omega_h
-DCMAKE_INSTALL_PREFIX=${{runner.workspace}}/build-meshFields/install
-D CABANA_INSTALL_DIR="\${{runner.workspace}}/build-cabana/*"
-D KOKKOS_INSTALL_DIR="\${{runner.workspace}}/build-kokkos/*"
-D OMEGAH_INSTALL_DIR="\${{runner.workspace}}/build-omegah/*"
-D LCOV_SYSTEM_EXCLUDE_PATHS="/usr/lib/x86_64-linux-gnu/openmpi/include/openmpi/ompi/mpi/cxx/*\;/usr/include/*"
for instructions on setting up a meshfields build with coverage enabled.

In your build directory, build-meshFields-cpu, there will be a folder called coverage. If your install is not already on your local machine, downloading this folder to your local machine will allow the file inside, index.html, to be viewed in your browser. This is a visual representation of testing coverage.

Timing Data

For timing, we'll use Kokkos SimpleKernelTimer along with some of the other tools listed here: https://github.com/kokkos/kokkos-tools/wiki

First, clone the repository

git clone [email protected]:kokkos/kokkos-tools.git

Then, follow the instructions here to compile: https://github.com/kokkos/kokkos-tools/wiki/SimpleKernelTimer

To run your program with timing data, run the following from your root directory

export KOKKOS_PROFILE_LIBRARY={PATH_TO_TOOL_DIRECTORY}/kp_kernel_timer.so
/path/to/binary/to/time

This will produce normal program output, plus the following line

KokkosP: Kernel timing written to {timing output file path}

To view the timing data, run the following command

{PATH_TO_TOOL_DIRECTORY}/kp_reader {timing output file path}

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