The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Authors: Elia Merzari (Pennsylvania State University); Steven Hamilton and Tom Evans (Oak Ridge National Laboratory (ORNL)); Misun Min (Argonne National Laboratory (ANL)); Paul Fischer (University of Illinois); Stefan Kerkemeier, Jun Fang, and Paul Romano (Argonne National Laboratory (ANL)); Yu-Hsiang Lan (University of Illinois); Malachi Phillips (University of Illinois, Sandia National Laboratories); Elliott Biondo and Katherine Royston (Oak Ridge National Laboratory (ORNL)); Tim Warburton (Virginia Tech); Noel Chalmers (Advanced Micro Devices (AMD) Inc); and Thilina Rathnayake (University of Illinois)
Abstract: ENRICO is a coupled application developed under the US 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 based on rapidly convergent high-order spectral element discretizations that feature minimal numerical dissipation and dispersion.
On Frontier, NekRS 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.
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