A capability in testing is to build an "on-node parallel" version of SEACAS using the Kokkos package. This includes a "Kokkos-aware" version of the Ioss library. The modifications to the build process described in the README file are shown below:
You will need the following library if you want to use Kokkos with CUDA as the backend:
- CUDA is already installed on many platforms. In many cases, typing something like
module load cuda
should be sufficient. Loading the module would typically set environment variables, such as CUDA_ROOT. - If installing yourself, see www.nvidia.com/object/cuda_home_new.html
Build as described in README-PARALLEL.md if using MPI or as described in README.md
otherwise. If you are using the cmake-config-kokkos
script, change MPI
to
ON
or OFF
as appropriate, change CUDA
to ON
or OFF
as appropriate, and then source the configure script.
source cmake-config-kokkos
If using your own cmake script or directly calling cmake, be sure to do the following.
-
Enable the Kokkos package.
-
If using OpenMP as the Kokkos backend, enable OpenMP and disable Pthread. If using CUDA as the backend, OpenMP can still be enabled.
-D Seacas_ENABLE_OpenMP:Bool=ON
-D TPL_ENABLE_Pthread:Bool=OFF
- If using CUDA as the Kokkos backend, enable CUDA, set the CUDA root directory, and disable Pthread.
-D TPL_ENABLE_CUDA:Bool=ON
-D CUDA_TOOLKIT_ROOT_DIR:Path=${CUDA_PATH}
-D TPL_ENABLE_Pthread:Bool=OFF
- If using CUDA as the Kokkos backend, some environment variables need to be set. These can be set in your configure script, but then be sure to source the script rather than just running it so that your environment is correct when running
make
.export OMPI_CXX=<SEACAS-source-directory>/packages/kokkos/config/nvcc_wrapper export CUDA_MANAGED_FORCE_DEVICE_ALLOC=1
Finally, build and install
make
make install