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


Creative Commons License

Fischer P., Kerkemeier S., Min M., Lan Y., Phillips M., Rathnayake T., ...More

Parallel Computing, vol.114, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 114
  • Publication Date: 2022
  • Doi Number: 10.1016/j.parco.2022.102982
  • Journal Name: Parallel Computing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Computer & Applied Sciences, INSPEC, zbMATH
  • Keywords: Exascale applications, GPU, Incompressible Navier–Stokes, LibParanumal, Nek5000, NekRS, OCCA, Performance, Scalability, Spectral element method
  • Middle East Technical University Affiliated: Yes

Abstract

© 2022 Argonne National Laboratory, The Author(s)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).