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Feasibility of Whole-Heart Electrophysiological Models With Near-Cellular Resolution

hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierSTatic Optimizations, Runtime Methods [STORM]
dc.contributor.authorSAILLARD, Emmanuelle
hal.structure.identifierSTatic Optimizations, Runtime Methods [STORM]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorBARTHOU, Denis
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorCOUDIÈRE, Yves
dc.date.accessioned2024-04-04T02:42:03Z
dc.date.available2024-04-04T02:42:03Z
dc.date.issued2020-09-16
dc.date.conference2020-09-13
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191210
dc.description.abstractEnGiven the opportunity to use a new cluster computer with over a quarter million compute cores we tested the strong and weak scaling of a monodomain reaction-diffusion model of the human ventricles with Ten Tusscher-Panfilov dynamics. Element sizes down to 25 µm and a model size up to 11 billion nodes were tested with both explicit and implicit Euler integration methods. Time steps were 0.01 ms for the implicit method and were resolution-dependent for the explicit method. We found that the weak scaling (increasing model size) was good for both methods. Depending on the model size, strong scaling (speedup at a larger number of cores) was satisfactory for the explicit method, and more limited for the implicit method. The implicit solver was generally slower; only at a resolution of 25 µm and on a relatively small number of cores it was as fast as the explicit solver. We conclude that whole-heart simulations at 25 µm resolution are technically feasible, although not practical yet on currently available systems.
dc.description.sponsorshipSimulation exascale de l'électrophysiologie cardiaque pour la recherche sur les arythmies - ANR-18-CE46-0010
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
dc.description.sponsorshipPlateforme multi-modale d'exploration en cardiologie - ANR-11-EQPX-0030
dc.language.isoen
dc.title.enFeasibility of Whole-Heart Electrophysiological Models With Near-Cellular Resolution
dc.typeCommunication dans un congrès
dc.identifier.doi10.22489/CinC.2020.126
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
dc.subject.halInformatique [cs]/Modélisation et simulation
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleCinC 2020 - Computing in Cardiology
bordeaux.countryIT
bordeaux.conference.cityRimini / Virtual
bordeaux.peerReviewedoui
hal.identifierhal-02943513
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2020-09-16
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02943513v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2020-09-16&rft.au=POTSE,%20Mark&SAILLARD,%20Emmanuelle&BARTHOU,%20Denis&COUDI%C3%88RE,%20Yves&rft.genre=unknown


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