Adapting a Finite-Element Type Solver for Bioelectromagnetics to the DEEP-ER Platform

Abstract : In this paper, we report on our recent efforts towards adapting a Discon-tinuous Galerkin Time-Domain solver for computational bioelectromagnetics to the novel, heterogeneous architecture proposed in the DEEP-ER european project on exascale computing. This architecture is based on the Cluster/Booster division concept which will be recalled. As a first step, we summarize the key features of the application and present the outcomes of a profiling of the code using the tools developed by DEEP-ER partners. We then go through the subsequent general improvements of the application as well as specific developments aimed at exploiting efficiently the DEEP-ER platform. This particularly includes porting the application to the Intel (R) Many Integrated Core Architecture. We conclude with an outlook on next steps, including the different Cluster/Booster division strategies.
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ParCo 2015, Edinburgh, United Kingdom. Parallel Computing: On the Road to Exascale (27), IOS Press, pp.850, 2016, Advances in parallel computing, 〈10.3233/978-1-61499-621-7-349〉
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Raphaël Léger, Damian Alvarez Mallon, Alejandro Duran, Stéphane Lanteri. Adapting a Finite-Element Type Solver for Bioelectromagnetics to the DEEP-ER Platform. ParCo 2015, Edinburgh, United Kingdom. Parallel Computing: On the Road to Exascale (27), IOS Press, pp.850, 2016, Advances in parallel computing, 〈10.3233/978-1-61499-621-7-349〉. 〈hal-01243708〉

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