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dc.contributor.authorSilvestri, Simone
dc.contributor.authorWagner, Gregory L
dc.contributor.authorConstantinou, Navid C
dc.contributor.authorHill, Christopher N
dc.contributor.authorCampin, Jean‐Michel
dc.contributor.authorSouza, Andre N
dc.contributor.authorBishnu, Siddhartha
dc.contributor.authorChuravy, Valentin
dc.contributor.authorMarshall, John
dc.contributor.authorFerrari, Raffaele
dc.date.accessioned2025-10-15T17:46:58Z
dc.date.available2025-10-15T17:46:58Z
dc.date.issued2025-04-21
dc.identifier.urihttps://hdl.handle.net/1721.1/163174
dc.description.abstractWe describe an ocean hydrostatic dynamical core implemented in Oceananigans optimized forGraphical Processing Unit (GPU) architectures. On 64 A100 GPUs, equivalent to 16 computational nodes incurrent state‐of‐the‐art supercomputers, our dynamical core can simulate a decade of near‐global oceandynamics per wall‐clock day at an 8‐km horizontal resolution; a resolution adequate to resolve the ocean'smesoscale eddy field. Such efficiency, achieved with relatively modest hardware resources, suggests thatclimate simulations on GPUs can incorporate fully eddy‐resolving ocean models. This removes a major sourceof systematic bias in current IPCC coupled model projections, the parameterization of ocean eddies, andrepresents 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.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionofhttps://doi.org/10.1029/2024MS004465en_US
dc.rightsCreative Commons Attribution-Noncommercialen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceWileyen_US
dc.titleA GPU‐Based Ocean Dynamical Core for Routine Mesoscale‐Resolving Climate Simulationsen_US
dc.typeArticleen_US
dc.identifier.citationSilvestri, S., Wagner, G. L., Constantinou, N. C., Hill, C. N., Campin, J.-M., Souza, A. N., et al. (2025). A GPU-based ocean dynamical core for routine mesoscale-resolving climate simulations. Journal of Advances in Modeling Earth Systems, 17, e2024MS004465.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.relation.journalJournal of Advances in Modeling Earth Systemsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-10-15T17:34:42Z
dspace.orderedauthorsSilvestri, S; Wagner, GL; Constantinou, NC; Hill, CN; Campin, J; Souza, AN; Bishnu, S; Churavy, V; Marshall, J; Ferrari, Ren_US
dspace.date.submission2025-10-15T17:34:45Z
mit.journal.volume17en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC


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