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TorchCor: High-Performance Cardiac Electrophysiology Simulations with the Finite Element Method on GPUs

2025/10/13 by Bei Zhou, Zhou, Bei, Maximilian Balmus +9
Medicine · #Cardiovascular Function and Risk Factors #Cardiac electrophysiology and arrhythmias #Cardiac Arrhythmias and Treatments

paper · doi:10.48550/arxiv.2510.12011

Abstract

Cardiac electrophysiology (CEP) simulations are increasingly used for understanding cardiac arrhythmias and guiding clinical decisions. However, these simulations typically require high-performance computing resources with numerous CPU cores, which are often inaccessible to many research groups and clinicians. To address this, we present TorchCor, a high-performance Python library for CEP simulations using the finite element method on general-purpose GPUs. Built on PyTorch, TorchCor significantly accelerates CEP simulations, particularly for large 3D meshes. The accuracy of the solver is verified against manufactured analytical solutions and the N-version benchmark problem. TorchCor is freely available for both academic and commercial use without restrictions.

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