Here are instructions how the compilation environments used in the course were created.
This container is built with recipe here.
Download Intel oneAPI base toolkit:
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/96aa5993-5b22-4a9b-91ab-da679f422594/intel-oneapi-base-toolkit-2025.0.0.885_offline.sh
Install:
sh ./intel-oneapi-base-toolkit-2025.0.0.885_offline.sh -a --silent --cli --eula accept --download-cache $SCRATCH/$USER/oneapi_tmp --install-dir $PROJAPPL/intel/oneapi
Get Codeplay oneAPI for NVIDIA GPUs:
curl -LOJ "https://developer.codeplay.com/api/v1/products/download?product=oneapi&variant=nvidia&version=2025.0.0&filters[]=12.0&filters[]=linux"
Install:
sh ./oneapi-for-nvidia-gpus-2025.0.0-cuda-12.0-linux.sh -y --extract-folder $SCRATCH/$USER/oneapi_tmp --install-dir $PROJAPPL/intel/oneapi
Download Intel oneAPI base toolkit:
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/96aa5993-5b22-4a9b-91ab-da679f422594/intel-oneapi-base-toolkit-2025.0.0.885_offline.sh
Install:
sh ./intel-oneapi-base-toolkit-2025.0.0.885_offline.sh -a --silent --cli --eula accept --download-cache $SCRATCH/$USER/oneapi_tmp --install-dir $PROJAPPL/intel/oneapi
Get Codeplay oneAPI for AMD GPUs:
curl -LOJ "https://developer.codeplay.com/api/v1/products/download?product=oneapi&variant=amd&version=2025.0.0&filters[]=6.0.2&filters[]=linux"
Install:
sh ./oneapi-for-amd-gpus-2025.0.0-rocm-6.0.2-linux.sh -y --extract-folder $SCRATCH/$USER/oneapi_tmp --install-dir $PROJAPPL/intel/oneapi
module purge
git clone -c feature.manyFiles=true https://github.com/spack/spack.git
cd spack
. share/spack/setup-env.sh
spack bootstrap now
spack compiler find
spack config add "modules:default:enable:[tcl]"
spack install lmod
$(spack location -i lmod)/lmod/lmod/init/bash
. share/spack/setup-env.sh
module load gcc/10.4.0
spack compiler find
Edit the recipe var/spack/repos/builtin/packages/hipsycl/package.py. Add "-DWITH_ACCELERATED_CPU:Bool=TRUE", after line 84. Edit the recipe var/spack/repos/builtin/packages/llvmpackage.py, remove all the versions higher than 18.
spack install [email protected] %[email protected] + cuda
Load the modules needed:
module load LUMI/24.03
module load partition/G
module load rocm/6.0.3
Clone repository and Compile with both cpu and rocm support:
git clone https://github.com/AdaptiveCpp/AdaptiveCpp.git
cd AdaptiveCpp
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/projappl/project_462000752/ACPP/ -DROCM_PATH=$ROCM_PATH -DWITH_CPU_BACKEND=ON -DWITH_CUDA_BACKEND=OFF -DWITH_ROCM_BACKEND=ON -DACPP_TARGETS="gfx90a" -DWITH_ACCELERATED_CPU=ON -DWITH_SSCP_COMPILER=OFF -DWITH_OPENCL_BACKEND=OFF -DWITH_LEVEL_ZERO_BACKEND=OFF -DBOOST_ROOT=/appl/lumi/SW/LUMI-24.03/G/EB/Boost/1.83.0-cpeGNU-24.03/ ..
make -j 64
make install