Toward GPGPU accelerated human electromechanical cardiac simulations

21Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we look at the acceleration of weakly coupled electromechanics using the graphics processing unit (GPU). Specifically, we port to the GPU a number of components of CHeart-a CPU-based finite element code developed for simulating multi-physics problems. On the basis of a criterion of computational cost, we implemented on the GPU the ODE and PDE solution steps for the electrophysiology problem and the Jacobian and residual evaluation for the mechanics problem. Performance of the GPU implementation is then compared with single core CPU (SC) execution as well as multi-core CPU (MC) computations with equivalent theoretical performance. Results show that for a human scale left ventricle mesh, GPU acceleration of the electrophysiology problem provided speedups of 164×compared with SC and 5.5 times compared with MC for the solution of the ODE model. Speedup of up to 72×compared with SC and 2.6×compared with MC was also observed for the PDE solve. Using the same human geometry, the GPU implementation of mechanics residual/Jacobian computation provided speedups of up to 44×compared with SC and 2.0×compared with MC. © 2013 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons, Ltd.

Cite

CITATION STYLE

APA

Vigueras, G., Roy, I., Cookson, A., Lee, J., Smith, N., & Nordsletten, D. (2014). Toward GPGPU accelerated human electromechanical cardiac simulations. International Journal for Numerical Methods in Biomedical Engineering, 30(1), 117–134. https://doi.org/10.1002/cnm.2593

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free