Authors | F. V. Lionetti, A. D. McCulloch and S. Baden |
Title | GPU Accelerated Cardiac Electrophysiology |
Afilliation | Scientific Computing, , , Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF) |
Status | Submitted |
Publication Type | Proceedings, refereed |
Year of Publication | 2010 |
Conference Name | Proceedings of the International Conference on Applied Parallel Computing |
Abstract | Computational models of cardiac electrophysiology require the integration of large and complex systems of ordinary differential equations. This poses special challenges on a GPU architecture owing to the large numbers of state variables required to describe the detailed biophysics of the ion channels in the cardiac muscle cells. We describe a system for generating efficient CUDA C from high level mathematical expressions and their solution within large three-dimensional, anatomically realistic multi-scale models of whole heart electrical activation. Significant performance improvements over CPU clusters are presented. |
Citation Key | Simula.acdc.74 |