- Kokkos Core GitHub repository
- Kokkos Tutorials
- Kokkos slides and videos
- Ruche documentation
- Cheat sheet
Ruche is the mesocentre of Paris-Saclay. It provides a computing environment for research and teaching. Ruche is equipped with both CPU (Intel Xeon Gold 6230 20C @ 2.1GHz) and GPU nodes (Nvidia Tesla V100 and A100).
ssh <login>@ruche.mesocentre.universite-paris-saclay.fr
SSH configuration:
Host ruche
User <login>
Hostname ruche.mesocentre.universite-paris-saclay.fr
Editors like vim
and nano
are available on Ruche. VSCode can be connected to Ruche using the Remote SSH extension.
Preferred modules for GNU compilers:
module load gcc/11.2.0/gcc-4.8.5
module load cmake/3.28.3/gcc-11.2.0
module load git/2.39.1/gcc-11.2.0-tcltk
We provide an already installed version of Kokkos 4.3.1 in case:
source /gpfs/workdir/cexaci/installation/env/kokkos4.3.1_gnu11.2.sh
# -> provides $Kokkos_ROOT=...
Preferred modules for the NVIDIA environment:
module load gcc/11.2.0/gcc-4.8.5
module load cmake/3.28.3/gcc-11.2.0
module load git/2.39.1/gcc-11.2.0-tcltk
module load cuda/12.2.1/gcc-11.2.0
We have installed for you a Kokkos version optimized for V100:
source /gpfs/workdir/cexaci/installation/env/kokkos4.3.1_cuda12_v100.sh
# -> provides $Kokkos_ROOT=...
The Kokkos version for V100 uses the following flags:
cmake -B build -DCMAKE_CXX_COMPILER=g++ \
-DCMAKE_INSTALL_PREFIX=${KOKKOS_HOME} \
-DKokkos_ENABLE_OPENMP=ON \
-DKokkos_ENABLE_CUDA=ON \
-DKokkos_ARCH_VOLTA70=ON \
-DKokkos_ENABLE_CUDA_LAMBDA=ON \
-DCMAKE_CXX_EXTENSIONS=ON \
-DKokkos_ENABLE_CUDA_CONSTEXPR=ON
We have installed for you a Kokkos version optimized for A100:
source /gpfs/workdir/cexaci/installation/env/kokkos4.3.1_cuda12_a100.sh
# -> provides $Kokkos_ROOT=...
The Kokkos version for A100 uses the following flags:
cmake -B build -DCMAKE_CXX_COMPILER=g++ \
-DCMAKE_INSTALL_PREFIX=${KOKKOS_HOME} \
-DKokkos_ENABLE_OPENMP=ON \
-DKokkos_ENABLE_CUDA=ON \
-DKokkos_ARCH_AMPERE80=ON \
-DKokkos_ENABLE_CUDA_LAMBDA=ON \
-DCMAKE_CXX_EXTENSIONS=ON \
-DKokkos_ENABLE_CUDA_CONSTEXPR=ON
Slurm example to compile and execute a tutorial exercise with OpenMP backend on a CPU node:
#!/bin/bash
#SBATCH --job-name=kokkos
#SBATCH --output=output
#SBATCH --error=error
#SBATCH --time=00:10:00
#SBATCH --ntasks=4
#SBATCH --partition=cpu_short
# ____________________________________________________________________
# Environment
# For script debugging
set -x
# Ensure that the job is launched from the directory where the script is located
cd ${SLURM_SUBMIT_DIR}
# Load here your modules and prepare your env
module load ...
# to use an already installed version of Kokkos
export Kokkos_ROOT=...
# ____________________________________________________________________
# Compilation
cmake -B build -DCMAKE_CXX_COMPILER=g++
make -C build -j
# ____________________________________________________________________
# Execution
# OpenMP parameters
export OMP_PROC_BIND=spread
export OMP_PLACES=threads
export OMP_NUM_THREADS=4
# Execution
./build/Begin/$(basename $(pwd))_Exercise
# Execution solution
./build/Solution/$(basename $(pwd))_Solution
Slurm example to compile and execute a tutorial exercise with OpenMP and CUDA backend on a GPU node:
#!/bin/bash
#SBATCH --job-name=kokkos
#SBATCH --output=output
#SBATCH --error=error
#SBATCH --time=00:10:00
#SBATCH --cpus-per-task=10
#SBATCH -p gpu_test
#SBATCH --exclude=ruche-gpu08 # This node has an older CUDA version
#SBATCH --gres=gpu:1
# ____________________________________________________________________
# Environment
# For script debugging
set -x
# Ensure that the job is launched from the directory where the script is located
cd ${SLURM_SUBMIT_DIR}
# Load here your modules and prepare your env
module load ...
# to use an already installed version of Kokkos
export Kokkos_ROOT=...
# ____________________________________________________________________
# Compilation
cmake -B build_cuda -DCMAKE_CXX_COMPILER=g++ -DKokkos_ENABLE_CUDA=ON
make -C build_cuda -j
# ____________________________________________________________________
# Execution
# OpenMP parameters
export OMP_PROC_BIND=spread
export OMP_PLACES=threads
export OMP_NUM_THREADS=1
# Execution
./build_cuda/Begin/$(basename $(pwd))_Exercise
# Execution solution
./build_cuda/Solution/$(basename $(pwd))_Solution
Slurm example to compile and execute a tutorial exercise with OpenMP and CUDA backend on a A100 GPU node:
#!/bin/bash
#SBATCH --job-name=kokkos
#SBATCH --output=output
#SBATCH --error=error
#SBATCH --time=00:10:00
#SBATCH --cpus-per-task=10
#SBATCH -p gpua100
#SBATCH --gres=gpu:1
# ____________________________________________________________________
# Environment
# For script debugging
set -x
# Ensure that the job is launched from the directory where the script is located
cd ${SLURM_SUBMIT_DIR}
# Load here your modules and prepare your env
module load ...
# to use an already installed version of Kokkos
export Kokkos_ROOT=...
# ____________________________________________________________________
# Compilation
cmake -B build_cuda -DCMAKE_CXX_COMPILER=g++ -DKokkos_ENABLE_CUDA=ON
make -C build_cuda -j
# ____________________________________________________________________
# Execution
# OpenMP parameters
export OMP_PROC_BIND=spread
export OMP_PLACES=threads
export OMP_NUM_THREADS=1
# Execution
./build_cuda/Begin/$(basename $(pwd))_Exercise
# Execution solution
./build_cuda/Solution/$(basename $(pwd))_Solution