Presentation
The 7th Annual Parallel Applications Workshop, Alternatives To MPI+X (PAW-ATM 2024)
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 programing languages (e.g., Chapel, Regent, Fortran 2018), 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.
Through discussion of specific applications, PAW-ATM brings together application experts and programming model developers to improve applications and models.
Alternatives to MPI+X are worth exploring as programmer productivity becomes a major component of the time to science. Alternatives include parallel programing languages (e.g., Chapel, Regent, Fortran 2018), 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.
Through discussion of specific applications, PAW-ATM brings together application experts and programming model developers to improve applications and models.
