Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method

Elia Merzari; Victor Coppo Leite; Jun Fang; Dillon Shaver; Misun Min; Stefan Kerkemeier; Paul Fischer; Ananias Tomboulides

doi:10.1115/1.4064659

Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method

Elia Merzari, Victor Coppo Leite, Jun Fang, Dillon Shaver, Misun Min, Stefan Kerkemeier, Paul Fischer, Ananias Tomboulides

Research output: Contribution to journal › Article › peer-review

Abstract

Development and application of the open-source GPU-based fluid-thermal simulation code, NekRS, are described. Time advancement is based on an efficient kth-order accurate timesplit formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which affords the use of fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and for GPU-based Lagrangian particle tracking. Results of large-eddy simulations of atmospheric boundary layers for wind-energy applications as well as extensive nuclear energy applications are presented.

Original language	English (US)
Article number	041105
Journal	Journal of Fluids Engineering, Transactions of the ASME
Volume	146
Issue number	4
Early online date	Feb 22 2024
DOIs	https://doi.org/10.1115/1.4064659
State	Published - Apr 1 2024

ASJC Scopus subject areas

Mechanical Engineering

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title = "Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method",

abstract = "Development and application of the open-source GPU-based fluid-thermal simulation code, NekRS, are described. Time advancement is based on an efficient kth-order accurate timesplit formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which affords the use of fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and for GPU-based Lagrangian particle tracking. Results of large-eddy simulations of atmospheric boundary layers for wind-energy applications as well as extensive nuclear energy applications are presented.",

author = "Elia Merzari and Leite, {Victor Coppo} and Jun Fang and Dillon Shaver and Misun Min and Stefan Kerkemeier and Paul Fischer and Ananias Tomboulides",

note = "The research used resources at the Argonne Leadership Computing Facility and at the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DEAC05-00OR22725. This material is based upon work supported by the U.S. Department of Energy (DOE), Office of Science, under Contract No. DE-AC02-06CH11357 and by the Exascale Computing Project (ECP) 17-SC-20-SC; Funder ID: 10.13039/100000015.",

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AU - Merzari, Elia

AU - Leite, Victor Coppo

AU - Fang, Jun

AU - Shaver, Dillon

AU - Min, Misun

AU - Kerkemeier, Stefan

AU - Fischer, Paul

AU - Tomboulides, Ananias

N1 - The research used resources at the Argonne Leadership Computing Facility and at the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DEAC05-00OR22725. This material is based upon work supported by the U.S. Department of Energy (DOE), Office of Science, under Contract No. DE-AC02-06CH11357 and by the Exascale Computing Project (ECP) 17-SC-20-SC; Funder ID: 10.13039/100000015.

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N2 - Development and application of the open-source GPU-based fluid-thermal simulation code, NekRS, are described. Time advancement is based on an efficient kth-order accurate timesplit formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which affords the use of fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and for GPU-based Lagrangian particle tracking. Results of large-eddy simulations of atmospheric boundary layers for wind-energy applications as well as extensive nuclear energy applications are presented.

AB - Development and application of the open-source GPU-based fluid-thermal simulation code, NekRS, are described. Time advancement is based on an efficient kth-order accurate timesplit formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which affords the use of fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and for GPU-based Lagrangian particle tracking. Results of large-eddy simulations of atmospheric boundary layers for wind-energy applications as well as extensive nuclear energy applications are presented.

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Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method

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