DOE OSTI · 2563478
A GPU‐Based Ocean Dynamical Core for Routine Mesoscale‐Resolving Climate Simulations
Abstract
Abstract We describe an ocean hydrostatic dynamical core implemented in Oceananigans optimized for Graphical Processing Unit (GPU) architectures. On 64 A100 GPUs, equivalent to 16 computational nodes in current state‐of‐the‐art supercomputers, our dynamical core can simulate a decade of near‐global ocean dynamics per wall‐clock day at an 8‐km horizontal resolution; a resolution adequate to resolve the ocean's mesoscale eddy field. Such efficiency, achieved with relatively modest hardware resources, suggests that climate simulations on GPUs can incorporate fully eddy‐resolving ocean models. This removes a major source of systematic bias in current IPCC coupled model projections, the parameterization of ocean eddies, and represents a major advance in climate modeling. We discuss the computational strategies, focusing on GPU‐specific optimization and numerical implementation details that enable such high performance.
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Silvestri, Simone [Massachusetts Institute of Technology Cambridge MA USA] (ORCID:000000027156946X), Wagner, Gregory L. [Massachusetts Institute of Technology Cambridge MA USA] (ORCID:0000000153172445), Constantinou, Navid C. [University of Melbourne Parkville VIC Australia, Australian Research Council Center of Excellence for the Weather of the 21st Century Parkville VIC Australia] (ORCID:0000000281494094), Hill, Christopher N. [Massachusetts Institute of Technology Cambridge MA USA], Campin, Jean‐Michel [Massachusetts Institute of Technology Cambridge MA USA], Souza, Andre N. [Massachusetts Institute of Technology Cambridge MA USA] (ORCID:0000000180253558), Bishnu, Siddhartha [Massachusetts Institute of Technology Cambridge MA USA] (ORCID:0000000242279738), Churavy, Valentin [Massachusetts Institute of Technology Cambridge MA USA], Marshall, John [Massachusetts Institute of Technology Cambridge MA USA] (ORCID:0000000192303591), Ferrari, Raffaele [Massachusetts Institute of Technology Cambridge MA USA] (ORCID:0000000318954294). 2025-04-21. A GPU‐Based Ocean Dynamical Core for Routine Mesoscale‐Resolving Climate Simulations. https://doi.org/10.1029/2024ms004465
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