Session

DescriptionSupercomputers get faster and more complex every year. MPI, long the dominant model for distributed computation, has adapted by combining with models for intra-node parallelism (e.g., OpenMP, CUDA). These MPI+X hybrids offer performance but demand significant programmer effort to write, debug, and tune applications. Alternatives to MPI+X are worth exploring as programmer productivity becomes a major component of the time to science. Alternatives include parallel programming languages (e.g., Chapel, Regent, Fortran), general purpose libraries (e.g., Charm++, COMPSs, HPX, Legion, UPC++), and domain-specific libraries (e.g., Arkouda, Dask, Spark). With many options to choose from, it is hard for programmers to know which alternative models are appropriate for their application and for programming model developers to understand the opportunities for improvement. PAW-ATM brings together both application experts and programming model developers to disseminate knowledge about available applications and models, as well as advance their design.