Performance Portability in the Exascale Computing Project: Exploration Through a Panel Series

Journal Article · 25 July 2021 · Computing in Science and Engineering

DOI: https://doi.org/10.1109/mcse.2021.3098231 · OSTI ID:1823307

Dubey, Anshu  ^[1]; McInnes, Lois Curfman  ^[1]; Thakur, Rajeev  ^[1]; Draeger, Erik W.  ^[2]; Evans, Thomas  ^[3]; Germann, Timothy C. ^[4]; Hart, William E. ^[5]

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1. Argonne National Lab. (ANL), Lemont, IL (United States)
2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
5. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Performance portability is a critical issue for the Exascale Computing Project (ECP) because of nontrivial architectural differences between machines available today and those expected at exascale. Many ECP project teams are working toward performance portability, and would expect to benefit from sharing lessons learned, identifying gaps, and discovering opportunities for partnerships. To facilitate this communication, the IDEAS-ECP project partnered with the three focus areas of ECP (application development, software technology, and hardware and integration), and Department of Energy computing facilities, to lead a series of panel discussions on performance portability. The panels were organized around broadly common themes of algorithmic and data locality challenges. In this article, we describe the panel series, its objectives, and perspectives from the various areas of the project. Finally, we also discuss use cases that are distinctive, as well as conclusions drawn from the collective experience of the participants.

• Research Organization: Argonne National Laboratory (ANL), Argonne, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Exascale Computing Project (ECP); USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: 89233218CNA000001; AC02-06CH11357; AC05-00OR22725; AC52-07NA27344; NA0003525
• OSTI ID: 1823307
• Journal Information: Computing in Science and Engineering, Journal Name: Computing in Science and Engineering Journal Issue: 5 Vol. 23; ISSN 1521-9615
• Publisher: IEEE Computer SocietyCopyright Statement
• Country of Publication: United States
• Language: English