@inproceedings{8f0a5f40631c49a8bf8e262d93181a0d,
title = "Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs",
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, high-resolution 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 un-precedented 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.",
keywords = "Exascale, ExaSMR, Monte-Carlo, NekRS, Shift, Spectral Element",
author = "Elia Merzari and Steven Hamilton and Thomas Evans and Paul Romano and Paul Fischer and Misun Min and Stefan Kerkemeier and Lan, {Yu Hsiang} and Jun Fang and Malachi Phillips and Thilina Rathnayake and Elliott Biondo and Katherine Royston and Noel Chalmers and Tim Warburton",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 ; Conference date: 12-11-2023 Through 17-11-2023",
year = "2023",
month = nov,
doi = "10.1145/3581784.3627038",
language = "English (US)",
series = "Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023",
publisher = "Association for Computing Machinery",
booktitle = "SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis",
address = "United States",
}