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UID:submissions.pasc-conference.org_PASC23_sess141_msa196@linklings.com
SUMMARY:Practical Examples of Productivity and Performance in Chapel
DESCRIPTION:Minisymposium\n\nBradford Chamberlain (HPE)\n\nChapel is a pro
 gramming language designed for productively expressing parallel computatio
 ns. Its design and implementation permit code to be developed on multicore
  laptops, and then recompiled for scalable execution on clusters, the clou
 d, or the world's largest supercomputers. Over the past few years, Chapel 
 has made the transition from research prototype to being used in productio
 n within applications as diverse as unstructured computational fluid dynam
 ics (CFD), interactive data science, exact diagonalization, and branch-and
 -bound algorithms. In this talk, I will describe some of these application
 s and how they have benefitted from Chapel's feature set. I'll also introd
 uce recent work that permits writing hybrid CPU+GPU computations using Cha
 pel's longstanding features for expressing parallelism and locality. In do
 ing so, I'll show how the same abstractions can be used to target a multi-
 core processor, a compute node with one or more GPUs, or a system with man
 y such compute nodes, providing a viable alternative to C++ + MPI + X prog
 ramming models for Exascale computing.\n\nDomain: Computer Science, Machin
 e Learning, and Applied Mathematics 
\n\nSession Chair: Anshu Dubey (Argon
 ne National Laboratory, University of Chicago)
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