|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)|
|Publication Type||Proceedings, refereed|
|Year of Publication||2010|
|Conference Name||Proceedings of the International Conference on Applied Parallel Computing|
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.