Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs

Elia Merzari, Steven Hamilton, Thomas Evans, Misun Min, Paul Fischer, Stefan Kerkemeier, Jun Fang, Paul Romano, Yu Hsiang Lan, Malachi Phillips, Elliott Biondo, Katherine Royston, Tim Warburton, Noel Chalmers, Thilina Rathnayake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

ENRICO is a coupled application developed under the U.S. Department of Energy's Exascale Computing Project (ECP) targeting the modeling of advanced nuclear reactors. It couples radiation transport with heat and fluid simulation, including the high-fidelity, highresolution Monte-Carlo code Shift and the Computational fluid dynamics code NekRS. NekRS is a highly-performant open-source code for simulation of incompressible and low-Mach fluid flow, heat transfer, and combustion with a particular focus on turbulent flows in complex domains. It is based on rapidly convergent high-order spectral element discretizations that feature minimal numerical dissipation and dispersion. State-of-the-art multilevel preconditioners, efficient high-order time-splitting methods, and runtime-adaptive communication strategies are built on a fast OCCA-based kernel library, libParanumal, to provide scalability and portability across the spectrum of current and future high-performance computing platforms. On Frontier, Nek5000/RS has recently achieved an unprecedented milestone in breaching over 1 billion spectral elements and 350 billion degrees of freedom. Shift has demonstrated the capability to transport upwards of 1 billion particles per second in full core nuclear reactor simulations featuring complete temperature-dependent, continuous-energy physics on Frontier. Shift achieved a weak-scaling efficiency of 97.8% on 8192 nodes of Frontier and calculated 6 reactions in 214,896 fuel pin regions below 1% statistical error yielding first-of-a-kind resolution for a Monte Carlo transport application.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400701092
DOIs
StatePublished - Nov 12 2023
Event2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 - Denver, United States
Duration: Nov 12 2023Nov 17 2023

Publication series

NameProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023

Conference

Conference2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023
Country/TerritoryUnited States
CityDenver
Period11/12/2311/17/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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