SYCL
SeisSol utilizes both native GPU and SYCL programming models. The former one is mainly used in performance critical parts of the application which typically contain some generated code. The latter one is used in places where we need to achieve GPU source code portability (e.g., Dynamic Rupture).
SYCL is a standard for cross-platform programming of heterogeneous processors. Below are the instructions for installing the hipSYCL implementation of the SYCL standard. If you want to use DPC++ then refer to the followig instructions. You can find the latest successfully tested DPC++ version here. Additionally to DPC++, you will need to compile OpenMP from the same repository for the host-side of the application. You can find the corresponding information there.
Installing LLVM
First download and prepare LLVM for building. Please, refer to the hipSYCL documentation regarding a specific version of LLVM. Here, we provide an example how to install hipSYCL using LLVM14. Note that unpacking the tar archive takes a long time.
wget https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-14.0.6.tar.gz
tar -xvf llvmorg-14.0.6.tar.gz
mkdir -p llvm-project-llvmorg-14.0.6/build && cd llvm-project-llvmorg-14.0.6/build
LLVM comes with many backends. The most common CPU ones are X86, ARM, PowerPC. Below are the instructions for installing LLVM with X86 and NVPTX backends for CPUs and GPUs, respectively.
export GCC_ROOT=$(dirname $(dirname $(which gcc)))
export CUDA_ROOT=${CUDA_PATH} # or CUDA_ROOT=$(dirname $(dirname $(which nvcc)))
cmake ../llvm -DCMAKE_BUILD_TYPE=Release \
-DLLVM_ENABLE_PROJECTS="clang;clang-tools-extra;compiler-rt;openmp;libunwind;polly" \
-DGCC_INSTALL_PREFIX="${GCC_ROOT}" \
-DCUDA_TOOLKIT_ROOT_DIR="${CUDA_ROOT}" \
-DCMAKE_INSTALL_PREFIX="${HOME}" \
-DLLVM_TARGETS_TO_BUILD="X86;NVPTX"
make -j $(nproc)
make install
cd ../..
Follow the instructions listed below if you need to configure LLVM with AMD GPU backend.
export GCC_ROOT=$(dirname $(dirname $(which gcc)))
export CUDA_ROOT=${CUDA_PATH} # or CUDA_ROOT=$(dirname $(dirname $(which nvcc)))
cmake ../llvm -DCMAKE_BUILD_TYPE=Release \
-DLLVM_ENABLE_PROJECTS="clang;clang-tools-extra;compiler-rt;openmp;polly" \
-DGCC_INSTALL_PREFIX="${GCC_ROOT}" \
-DCMAKE_INSTALL_PREFIX="${HOME}" \
-DLLVM_TARGETS_TO_BUILD="X86;AMDGPU"
make -j $(nproc)
make install
cd ../..
Installing Boost
hipSYCL depends on 1.69.0 version of the Boost library.
wget https://boostorg.jfrog.io/artifactory/main/release/1.69.0/source/boost_1_69_0.tar.gz
tar -xvf ./boost_1_69_0.tar.gz
cd boost_1_69_0
GCC_EXEC=$(which g++)
./bootstrap.sh --prefix="${HOME}" \
--with-toolset=gcc \
--with-libraries=serialization,wave,date_time,iostreams,locale,math,random,context,regex,program_options,atomic,timer,log,fiber,chrono,thread,exception,system,test,graph,filesystem
echo "using gcc : : ${GCC_EXEC} ;" > user-config.jam
./b2 install threading=multi variant=release toolset=gcc link=shared \
cxxflags="-std=c++17" visibility=hidden -j $(nproc) --user-config="user-config.jam"
cd ..
Installing hipSYCL
SeisSol requires 0.9.3 version of hipSYCL for a correct multi GPU-setup.
git clone --depth 1 --branch v0.9.3 https://github.com/illuhad/hipSYCL.git
cd hipSYCL
mkdir build && cd build
Perform the following steps to configure and install hipSYCL for Nvidia GPUs. Make sure that the clang from the correct LLVM installation is used and check the paths carefully.
export CUDA_PATH=$CUDA_HOME
export CLANG_DIR=$(dirname $(dirname $(which clang)))
export CLANG_EXE=$(which clang++)
CC=gcc CXX=g++ cmake .. \
-DCMAKE_BUILD_TYPE:STRING=Release \
-DCMAKE_INSTALL_PREFIX="${HOME}" \
-DWITH_CPU_BACKEND:Bool=TRUE \
-DWITH_ROCM_BACKEND:Bool=FALSE \
-DWITH_CUDA_BACKEND:Bool=TRUE \
-DWITH_ACCELERATED_CPU=OFF \
-DLLVM_DIR:String="${CLANG_DIR}/lib/cmake/llvm" \
-DCLANG_INCLUDE_PATH:String="${CLANG_DIR}/lib/clang/12.0.0/include" \
-DCLANG_EXECUTABLE_PATH:String="${CLANG_EXE}" \
-DCUDA_TOOLKIT_ROOT_DIR:String="${CUDA_PATH}" \
-DBoost_NO_BOOST_CMAKE=TRUE \
-DBoost_NO_SYSTEM_PATHS=TRUE \
-DBOOST_ROOT:PATHNAME="${HOME}" \
-DBoost_LIBRARY_DIRS:FILEPATH="${HOME}/lib"
make -j $(nproc)
make install
cd ../..
The following steps describe the steps to configure and install hipSYCL for AMD GPUs. Note ROCM_PATH is typically set by system administrators. Please, makes sure that this environment variable is not empty.
export CLANG_DIR=$(dirname $(dirname $(which clang)))
export CLANG_EXEC=$(which clang++)
cmake .. -DCMAKE_BUILD_TYPE:STRING=Release \
-DCMAKE_INSTALL_PREFIX="${HOME}" \
-DWITH_CPU_BACKEND:Bool=TRUE \
-DWITH_ROCM_BACKEND:Bool=TRUE \
-DWITH_CUDA_BACKEND:Bool=FALSE \
-DWITH_ACCELERATED_CPU=OFF \
-DLLVM_DIR:String="${CLANG_DIR}/lib/cmake/llvm" \
-DCLANG_INCLUDE_PATH:String="${CLANG_DIR}/lib/clang/12.0.0/include" \
-DCLANG_EXECUTABLE_PATH:String="${CLANG_EXEC}" \
-DROCM_PATH:String="${ROCM_PATH}" \
-DBoost_NO_BOOST_CMAKE=TRUE \
-DBoost_NO_SYSTEM_PATHS=TRUE \
-DBOOST_ROOT:PATHNAME="${HOME}" \
-DBoost_LIBRARY_DIRS:FILEPATH="${HOME}"/lib
make -j $(nproc)
make install
cd ../..
Add the following during the CMake configuration step if you want to enable the OpenMP backend of SYCL device kernels: -DWITH_ACCELERATED_CPU=ON