Large-scale modeling of cardiac electrophysiology

J.B. Pormann, J.A. Board, D. Rose, C. Henriquez
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引用次数: 7

Abstract

Simulation of wavefront propagation in the whole heart requires significant computational resources. The growth of cluster computing has made it possible to simulate very large scale problems in a lab environment. In this work, we present computational results of simulating a reaction diffusion system of equations of various sizes on a Beowulf cluster. To facilitate comparisons at different spatial resolutions, an idealized ventricular geometry was used. The model incorporates anisotropy, fiber rotation, and realistic membrane dynamics to determine the computational constraints for the most detailed situations of interest. Three meshes with mesh spacings of 378/spl mu/m, 238/spl mu/m, and 150/spl mu/m, corresponding to roughly 1M, 4M, and 16M nodes in the computational domain, were considered. The results show that good parallel performance is possible on a cluster up to 32 processors.
心脏电生理的大规模建模
波前在整个心脏中的传播模拟需要大量的计算资源。集群计算的发展使得在实验室环境中模拟非常大规模的问题成为可能。在这项工作中,我们给出了在贝奥武夫簇上模拟不同尺寸方程的反应扩散系统的计算结果。为了便于在不同空间分辨率下进行比较,使用了理想化的心室几何形状。该模型结合了各向异性、纤维旋转和真实膜动力学,以确定最详细情况的计算约束。考虑网格间距分别为378/spl mu/m、238/spl mu/m和150/spl mu/m的三个网格,分别对应计算域中大约1M、4M和16M个节点。结果表明,在多达32个处理器的集群上可以实现良好的并行性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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