期刊
PARALLEL COMPUTING
卷 108, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.parco.2021.102841
关键词
High-performance computing; GPU acceleration; High-order discretizations; Finite element methods; Exascale applications
资金
- Exascale Computing Project [17-SC-20-SC]
- U.S. Department of Energy, Office of Science [DE-AC02-06CH11357]
- Office of Science of the U.S. Department of Energy [DE-AC05-00OR22725, DE-AC52-07NA27344 (LLNL-JRNL-816034)]
This paper outlines the research and development activities in the Center for Efficient Exascale Discretization as part of the US Exascale Computing Project, focusing on state-of-the-art high-order finite-element algorithms for high-order applications on GPU-accelerated platforms. The authors discuss GPU developments in various components of the CEED software stack, and report performance and capability improvements in several CEED-enabled applications on both NVIDIA and AMD GPU systems.
In this paper we describe the research and development activities in the Center for Efficient Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art high-order finite-element algorithms for high-order applications on GPU-accelerated platforms. We discuss the GPU developments in several components of the CEED software stack, including the libCEED, MAGMA, MFEM, libParanumal, and Nek projects. We report performance and capability improvements in several CEED-enabled applications on both NVIDIA and AMD GPU systems.
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