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Large Speed Increase Using Novel GPU Based Algorithms to Simulate Cardiac Excitation Waves in a Rabbit Ventricle

Jonathan Higham, Oleg Aslanidi, Henggui Zhang
University of Manchester, Manchester, UK
Computing in Cardiology, 2011

@article{higham2011large,

   title={Large Speed Increase Using Novel GPU Based Algorithms to Simulate Cardiac Excitation Waves in a Rabbit Ventricle},

   author={Higham, J. and Aslanidi, O. and Zhang, H.},

   year={2011}

}

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Large-scale biophysically detailed computer models of the heart provide a useful tool to understand dynamics of cardiac excitation and mechanisms underlying lethal cardiac arrhythmias. However, high demanding of intensive high performance computing environments limits the practical application of such models. This paper presents a novel method using a desktop personal computer and the CUDA parallel computing architecture, for a highly efficient method of parallel simulation of a 3D ventricular model. We show that substantial speed increases can be obtained using a desktop Graphical Processing Unit (GPU) compared to a single desktop Central Processing Unit (CPU), and that a single GPU can be an effective substitute to large numbers of CPUs.
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