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

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Date

2022-12-01

Author

Fischer, Paul
Kerkemeier, Stefan
Min, Misun
Lan, Yu-Hsiang
Phillips, Malachi
Rathnayake, Thilina
Merzari, Elia
Tomboulides, Ananias
Karakuş, Ali
Chalmers, Noel
Warburton, Tim

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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).

Subject Keywords

Exascale applications, GPU, Incompressible Navier–Stokes, LibParanumal, Nek5000, NekRS, OCCA, Performance, Scalability, Spectral element method

URI

https://hdl.handle.net/11511/101817

Journal

Parallel Computing

DOI

https://doi.org/10.1016/j.parco.2022.102982

Collections

Department of Mechanical Engineering, Article

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Citation Formats

P. Fischer et al., “NekRS, a GPU-accelerated spectral element Navier–Stokes solver,” Parallel Computing, vol. 114, pp. 0–0, 2022, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/101817.