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DTSTART;TZID=America/Denver:20231114T113000
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UID:submissions.supercomputing.org_SC23_sess296_gb105@linklings.com
SUMMARY:Exascale Multiphysics Nuclear Reactor Simulations for Advanced Des
 igns
DESCRIPTION:Elia Merzari (Pennsylvania State University); Steven Hamilton 
 and Tom Evans (Oak Ridge National Laboratory (ORNL)); Misun Min (Argonne N
 ational Laboratory (ANL)); Paul Fischer (University of Illinois); Stefan K
 erkemeier, Jun Fang, and Paul Romano (Argonne National Laboratory (ANL)); 
 Yu-Hsiang Lan (University of Illinois); Malachi Phillips (University of Il
 linois, Sandia National Laboratories); Elliott Biondo and Katherine Roysto
 n (Oak Ridge National Laboratory (ORNL)); Tim Warburton (Virginia Tech); N
 oel Chalmers (Advanced Micro Devices (AMD) Inc); and Thilina Rathnayake (U
 niversity of Illinois)\n\nENRICO is a coupled application developed under 
 the US Department of Energy’s Exascale Computing Project (ECP) targeting t
 he modeling of advanced nuclear reactors. It couples radiation transport w
 ith heat and fluid simulation, including the high-fidelity, high-resolutio
 n Monte-Carlo code Shift and the Computational fluid dynamics code NekRS. 
 NekRS is based on rapidly convergent high-order spectral element discretiz
 ations that feature minimal numerical dissipation and dispersion. \n\nOn F
 rontier, NekRS has recently achieved an unprecedented milestone in breachi
 ng over 1 billion spectral elements and 350 billion degrees of freedom. Sh
 ift has demonstrated the capability to transport upwards of 1 billion part
 icles per second in full core nuclear reactor simulations featuring comple
 te temperature-dependent, continuous-energy physics on Frontier. Shift ach
 ieved a weak-scaling efficiency of 97.8% on 8192 nodes of Frontier and cal
 culated 6 reactions in 214,896 fuel pin regions below 1% statistical error
  yielding first-of-a-kind resolution for a Monte Carlo transport applicati
 on.\n\nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Tais
 uke Boku (University of Tsukuba, Advanced HPC‑AI Research and Development 
 Support Center (HAIRDESC))\n\n
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