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Parallelization of Three Dimensional Cardiac Simulation on GPU
Qin Li1, Xin Zhu2, Wenxi Chen1
1Graduate School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu 965-8580, Fukushima, Japan.
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.

