Codes for in-class collaboration for the course: Parallel Scientific Computing (MATH 4370/6370) at Southern Methodist University.
These codes require working C, C++11, and Fortran-90 compilers that support OpenMP, a working MPI installation (preferably with the mpicc, mpicxx and mpifort wrapper scripts and mpiexec launcher), and the "make" program, and are designed to be compiled/run at the Linux/OSX command line. For the raja branch, we additionally require that RAJA v0.12.1 or higher is installed, with the CUDA backend (this introduces additional dependencies) -- if your computer has an NVIDIA graphics card or GPU accelerator, then RAJA and its dependencies maybe easily installed using Spack.
Note: we use branches to focus on specific code types:
- main: serial
- openmp: shared-memory parallelization via OpenMP
- mpi: distributed-memory parallelization via MPI
- raja: accelerator-based parallelism with RAJA (C++ only)
- kokkos: accelerator-based parallelism with Kokkos (C++ only)