Abstract
In this paper we evaluate a new coalesced data and kernel scheme used to reduce the execution costs of cardiac simulations that run on multi-GPU environments. The new scheme was tested for an important part of the simulator, the solution of the systems of Ordinary Differential Equations (ODEs). The results have shown that the proposed scheme is very effective. The execution time to solve the systems of ODEs on the multi-GPU environment was reduced by half, when compared to a scheme that does not implemented the proposed data and kernel coalescing. As a result, the total execution time of cardiac simulations was 25 % faster.
M. Lobosco—The authors would like to thank UFJF, UFSJ, FINEP, FAPEMIG, CAPES, and CNPq.
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Cordeiro, R.P., Oliveira, R.S., dos Santos, R.W., Lobosco, M. (2016). Improving the Performance of Cardiac Simulations in a Multi-GPU Architecture Using a Coalesced Data and Kernel Scheme. In: Carretero, J., Garcia-Blas, J., Ko, R., Mueller, P., Nakano, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2016. Lecture Notes in Computer Science(), vol 10048. Springer, Cham. https://doi.org/10.1007/978-3-319-49583-5_43
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