4.3 Article

NekRS, a GPU-accelerated spectral element Navier-Stokes solver

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

  1. U.S. Department of Energy, Office of Science [DE-AC02-06CH11357]
  2. Exascale Computing Project [17-SC-20-SC]
  3. Office of Science of the U.S. Department of Energy [DE-AC05-00OR22725]
  4. Frontier Center of Excellence

向作者/读者索取更多资源

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).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据