Parallelization of Three Dimensional Cardiac Simulation on GPU

Background: The simulation of electrophysiological cardiac models plays an important role in facilitating the investigation of cardiac behavior under various conditions. However, these simulations often require a lot of computational resources. Methods: To address this challenge, this study introduced a method for speeding up three-dimensional cardiac simulations using GPU parallelization. A series of optimizations was introduced, encompassing various aspects such as data storage, algorithmic enhancements, and data transfer. Results: The experimental results reveal that the optimized GPU parallel simulations achieve an approximate 50-fold acceleration compared with their CPU serial program. Conclusion: This investigation substantiates the considerable potential of GPUs in advancing the field of cardiac electrophysiology simulations.