Enabling particle applications for exascale computing platforms

Susan M. Mniszewski, James Belak, Jean Luc Fattebert, Christian F.A. Negre, Stuart R. Slattery, Adetokunbo A. Adedoyin, Robert F. Bird, Choongseok Chang, Guangye Chen, Stéphane Ethier, Shane Fogerty, Salman Habib, Christoph Junghans, Damien Lebrun-Grandié, Jamaludin Mohd-Yusof, Stan G. Moore, Daniel Osei-Kuffuor, Steven J. Plimpton, Adrian Pope, Samuel Temple ReeveLee Ricketson, Aaron Scheinberg, Amil Y. Sharma, Michael E. Wall

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applications (CoPA) is addressing challenges faced by particle-based applications across four “sub-motifs”: short-range particle–particle interactions (e.g., those which often dominate molecular dynamics (MD) and smoothed particle hydrodynamics (SPH) methods), long-range particle–particle interactions (e.g., electrostatic MD and gravitational N-body), particle-in-cell (PIC) methods, and linear-scaling electronic structure and quantum molecular dynamics (QMD) algorithms. Our crosscutting co-designed technologies fall into two categories: proxy applications (or “apps”) and libraries. Proxy apps are vehicles used to evaluate the viability of incorporating various types of algorithms, data structures, and architecture-specific optimizations and the associated trade-offs; examples include ExaMiniMD, CabanaMD, CabanaPIC, and ExaSP2. Libraries are modular instantiations that multiple applications can utilize or be built upon; CoPA has developed the Cabana particle library, PROGRESS/BML libraries for QMD, and the SWFFT and fftMPI parallel FFT libraries. Success is measured by identifiable “lessons learned” that are translated either directly into parent production application codes or into libraries, with demonstrated performance and/or productivity improvement. The libraries and their use in CoPA’s ECP application partner codes are also addressed.

Original languageEnglish
Pages (from-to)572-597
Number of pages26
JournalInternational Journal of High Performance Computing Applications
Volume35
Issue number6
DOIs
StatePublished - Nov 2021

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