Journal
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
Volume 36, Issue 1, Pages 5-12Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/10943420211028940
Keywords
Exascale Computing Project; graphical processing unit; computational physics applications; programming models
Categories
Funding
- US Department of Energy's Office of Science [17SC-20-SC]
- Office of Science of the US Department of Energy [DE-AC05-00OR22725]
- Oak Ridge National Laboratory (ORNL) [DEAC05-00OR22725]
- US Department of Energy by Lawrence Livermore National Laboratory [DEAC52-07NA27344]
- National Nuclear Security Administration of US Department of Energy [89233218CNA000001]
- National Energy Research Scientific Computing Center (NERSC), a US Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory [DE-AC02-05CH11231]
- US Department of Energy's National Nuclear Security Administration [DE-NA0003525]
- National Nuclear Security Administration [17SC-20-SC]
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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 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.
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