We present a numerical solver for the fast conduction system in the heart using both a CPU and a hybrid CPU/GPU implementation. To verify both implementations, we construct analytical solutions and show that the L2-error is similar in both implementations and decreases linearly with the spatial step size. Finally, we test the performance of the implementations with networks of varying complexity, where the hybrid implementation is, on average, 5.8 times faster.
CITATION STYLE
Lange, M., Palamara, S., Lassila, T., Vergara, C., Quarteroni, A., & Frangi, A. F. (2015). Efficient numerical schemes for computing cardiac electrical activation over realistic Purkinje networks: Method and verification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9126, pp. 430–438). Springer Verlag. https://doi.org/10.1007/978-3-319-20309-6_49
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