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A survey of software implementations used by application codes in the Exascale Computing Project

Journal Article · · International Journal of High Performance Computing Applications
 [1];  [2];  [3];  [4];  [5];  [5];  [6];  [4]
  1. Oak Ridge National Laboratory, USA
  2. Argonne National Laboratory, USA
  3. Lawrence Livermore National Laboratory, USA
  4. Lawrence Berkeley National Laboratory, USA
  5. Los Alamos National Laboratory, USA
  6. Sandia National Laboratories, USA
+ Show Author Affiliations

The US Department of Energy Office of Science and the National Nuclear Security Administration initiated the Exascale Computing Project (ECP) in 2016 to prepare mission-relevant applications and scientific software for the delivery of the exascale computers starting in 2023. The ECP currently supports 24 efforts directed at specific applications and six supporting co-design projects. These 24 application projects contain 62 application codes that are implemented in three high-level languages—C, C++, and Fortran—and use 22 combinations of graphical processing unit programming models. The most common implementation language is C++, which is used in 53 different application codes. The most common programming models across ECP applications are CUDA and Kokkos, which are employed in 15 and 14 applications, respectively. This article provides a survey of the programming languages and models used in the ECP applications codebase that will be used to achieve performance on the future exascale hardware platforms.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Grant/Contract Number:
89233218CNA000001; AC02-05CH11231; AC05-00OR22725; AC52-07NA27344; NA0003525
OSTI ID:
1798897
Alternate ID(s):
OSTI ID: 1825892
OSTI ID: 1840201
Journal Information:
International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 1 Vol. 36; ISSN 1094-3420
Publisher:
SAGE PublicationsCopyright Statement
Country of Publication:
United States
Language:
English

References (4)

Kokkos: Enabling manycore performance portability through polymorphic memory access patterns journal December 2014
Exascale applications: skin in the game
  • Alexander, Francis; Almgren, Ann; Bell, John
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 378, Issue 2166 https://doi.org/10.1098/rsta.2019.0056
journal January 2020
RAJA: Portable Performance for Large-Scale Scientific Applications conference November 2019
Scaling implicit parallelism via dynamic control replication
  • Bauer, Michael; Lee, Wonchan; Slaughter, Elliott
  • PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming https://doi.org/10.1145/3437801.3441587
conference February 2021

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Related Subjects

97 MATHEMATICS AND COMPUTING
Exascale Computing Project
computational physics applications
graphical processing unit
programming models