Abstract
Modeling and simulation of cardiac electrophysiology has the advantages of economic and security than anatomical experiments. However, the simulation of a cardiac model that matches a real one always demands very high computing ability that an ordinary CPU could hardly satisfy. In this paper, a parallelized solution of the simulation of a 2D electrophysiology cardiac model based on CUDA (Compute Unified Device Architecture) using GPUs is introduced. CUDA is a parallel computing platform and API (Application Programming Interface) model created and released by NVIDIA, which offers us a way of using GPUs as co-processors to implement parallel computation. Through our work, it is shown that the simulation of electrophysiology cardiac propagation model is an ideal candidate for GPU computing and achieves impressive speedup compared to ordinary CPUs.
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