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Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation (regular paper)

Abstract : In this paper, the performance of a parallel sparse direct solver on a shared-memory multicore system is presented. Large size test matrices arising from finite element simulation of induction heating industrial applications are used to evaluate the performance improvements due to low-rank representations and multicore parallelization.
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https://hal.inria.fr/hal-00924660
Contributor : Jean-Yves L'Excellent Connect in order to contact the contributor
Submitted on : Tuesday, January 7, 2014 - 9:48:26 AM
Last modification on : Thursday, September 29, 2022 - 2:58:07 PM

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Patrick Amestoy, Olivier Boiteau, Alfredo Buttari, Guillaume Joslin, Jean-Yves L'Excellent, et al.. Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation (regular paper). 19th IEEE International Conference on the Computation of Electromagnetic Fields (COMPUMAG 2013), International Compumag Society (ICS) Technical Co-Sponsorship - IEEE Magnetics Society, Jun 2013, Budapest, Hungary. ⟨10.1109/TMAG.2013.2284024⟩. ⟨hal-00924660⟩

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