Integrating Intra-and Intercellular Simulation of a 2D HL-1 Cardiac Model Based on Embedded GPUs

Abstract

Simulation of electrophysiological cardiac models enables researchers to investigate the activity of heart under various circumstances. Fortunately, recent development in embedded parallel computing architectures has made it possible for one to efficiently simulate sophisticated electrophysiological models that match up to real conditions on embedded computing devices, which typically relies on large scale CPU or GPU clusters in the past. In this paper, a simultaneous implementation of a 2D Takeuchi-HL-1 cardiac model combining unicellular and intercellular solver is proposed and conducted on NVIDIA Jetson Tegra X2 embedded computer. The experiment results demonstrate that our implementation yields considerable efficiency improvement compared with that using non-simultaneous methods, without loss of simulation accuracy. Moreover, it's also proved that embedded devices are much more energy-efficient than conventional systems on the simulation.