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DOE OSTI · 2532329

Thermonuclear Burn in a Multiphysics Code on GPUs

Norris, Edward Thomas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000213219795)·Markham, David Tyler [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]·Hope, Daniel Chuwkunonso St. John Theodore [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]·Reed, Owen James [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]
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Abstract

Multiphysics codes links to a library called SINGE for the calculation of thermonuclear (TN) burn rates, but some current multiphysics codes do not attempt to leverage the support for parallel operation that SINGE provides. Our goal is to investigate implementations of the SINGE workflow and analyze how the use of a performance portability layer could reduce run time on CPU archi tectures while also supporting GPU architectures without requiring code modifications. We looked to the Kokkos C++ Performance Portability Ecosystem to implement hardware agnostic parallel patterns.

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73 NUCLEAR PHYSICS AND RADIATION PHYSICS97 MATHEMATICS AND COMPUTING

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BibTeXRIS

Norris, Edward Thomas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000213219795), Markham, David Tyler [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Hope, Daniel Chuwkunonso St. John Theodore [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Reed, Owen James [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]. 2025-03-17. Thermonuclear Burn in a Multiphysics Code on GPUs. https://doi.org/10.2172/2532329

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