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Communication Dans Un Congrès Année : 2020

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

Résumé

Given 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.
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Dates et versions

hal-02943513 , version 1 (19-09-2020)
hal-02943513 , version 2 (01-03-2022)

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Mark Potse, Emmanuelle Saillard, Denis Barthou, Yves Coudière. Feasibility of Whole-Heart Electrophysiological Models With Near-Cellular Resolution. CinC 2020 - Computing in Cardiology, Sep 2020, Rimini / Virtual, Italy. ⟨10.22489/CinC.2020.126⟩. ⟨hal-02943513v2⟩
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