Large and complex systems of ordinary differential equations (ODEs) arise in diverse areas of science and engineering, and pose special challenges on a streaming processor owing to the large amount of state they manipulate. We describe a set of domain-specific source transformations on CUDA C that improved performance by x6.7 on a system of ODEs arising in cardiac electrophysiology running on the nVidia GTX-295, without requiring expert knowledge of the GPU. Our transformations should apply to a wide range of reaction-diffusion systems.. © 2010 Springer-Verlag.
CITATION STYLE
Lionetti, F. V., McCulloch, A. D., & Baden, S. B. (2010). Source-to-source optimization of CUDA C for GPU accelerated cardiac cell modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6271 LNCS, pp. 38–49). https://doi.org/10.1007/978-3-642-15277-1_5
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