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

Amestoy, Patrick and Buttari, Alfredo and Joslin, Guillaume and L'Excellent, Jean-Yves and Sid-Lakhdar, Mohamed and Weisbecker, Clément and Forzan, Michele and Pozza, Cristian and Perrin, Rémy and Pellissier, Valène Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation. (2014) IEEE Transactions on Magnetics, vol. 50 (n° 2). pp. 1-4. ISSN 0018-9464

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Official URL: http://dx.doi.org/10.1109/TMAG.2013.2284024

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 in order to evaluate the performance improvements due to low-rank representations and multicore parallelization

Item Type:Article
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6748995
HAL Id:hal-01123557
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National des Etudes Spatiales - CNES (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Ecole Normale Supérieure de Lyon - ENS de Lyon (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université de Toulouse I-Sciences Sociales - UT1 (FRANCE)
Other partners > CEDRAT TECHNOLOGIES (FRANCE)
Other partners > Università degli Studi di Padova (ITALY)
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Deposited By: IRIT IRIT
Deposited On:05 Mar 2015 09:53

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