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A variety of parallel programming models is available on Pawsey Centre's systems. This section contains introductory information about the most popular parallel programming techniques like MPI, OpenMP, CUDA and HIP. |
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It starts with the description of a Toy Computational Problem and its C and Fortran implementations, which are then ported to those models. The models covered here are:
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- OpenCL is an open standard for cross-platform, parallel programming for heterogenous compute on diverse accelerators, from GPUs to FPGAs.
OpenACC is a programming standard for parallel computing that is designed to simplify parallel programming of heterogeneous CPU/GPU systems. As with OpenMP, parallelisation is achieved through the use of the directive
#pragma acc(in C/C++) or!$acc(in Fortran).Column Info Transition existing OpenACC applications to OpenMP and use OpenMP instead of OpenACC in new applications as there is better support for the OpenMP API.
- HPX is a programming model in C++ providing abstractions for parallel execution of code.
- Kokkos is a programming model in C++ providing abstractions for both parallel execution of code and data management. It currently can use CUDA, HIP, SYCL, HPX, OpenMP and C++ threads as backend programming models with several other backends in development.
- Charm++ is a parallel programming framework in C++ supported by an adaptive runtime system that supports both irregular as well as regular applications. It can be used to specify task parallelism as well as data parallelism in a single application.
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