期刊
PARALLEL COMPUTING
卷 114, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.parco.2022.102982
关键词
NekRS; Nek5000; LibParanumal; OCCA; GPU; Scalability; Performance; Spectral element method; Incompressible Navier-Stokes; Exascale applications
资金
- U.S. Department of Energy, Office of Science [DE-AC02-06CH11357]
- Exascale Computing Project [17-SC-20-SC]
- Office of Science of the U.S. Department of Energy [DE-AC05-00OR22725]
- Frontier Center of Excellence
This paper describes the development of NekRS, a GPU-oriented thermal-fluids simulation code based on the spectral element method (SEM). The code is designed for performance portability and leverages scalable developments in other libraries such as Nek5000 and libParanumal. The paper focuses on critical performance sections of the Navier-Stokes time advancement and presents performance results on multiple platforms.
The development of NekRS, a GPU-oriented thermal-fluids simulation code based on the spectral element method (SEM) is described. For performance portability, the code is based on the open concurrent compute abstraction and leverages scalable developments in the SEM code Nek5000 and in libParanumal, which is a library of high-performance kernels for high-order discretizations and PDE-based miniapps. Critical performance sections of the Navier-Stokes time advancement are addressed. Performance results on several platforms are presented, including scaling to 27,648 V100s on OLCF Summit, for calculations of up to 60B grid points (240B degrees-of-freedom).
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