DocumentCode :
7120
Title :
Shared-Memory Parallelism and Low-Rank Approximation Techniques Applied to Direct Solvers in FEM Simulation
Author :
Amestoy, Patrick ; Buttari, Alfredo ; Joslin, Guillaume ; L´Excellent, Jean-Yves ; Sid-Lakhdar, Mohamed ; Weisbecker, Clement ; Forzan, Michele ; Pozza, Cristian ; Perrin, Remy ; Pellissier, Valene
Author_Institution :
Inst. de Rech. en Inf. de Toulouse, Inst. Nat. Polytech. de Toulouse, Toulouse, France
Volume :
50
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
517
Lastpage :
520
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.
Keywords :
approximation theory; electrical engineering computing; finite element analysis; induction heating; mathematics computing; matrix algebra; multiprocessing systems; parallel processing; shared memory systems; FEM simulation; induction heating; induction heating industrial applications; large size test matrices; low-rank approximation techniques; low-rank representations; multicore parallelization; parallel sparse direct solver; shared-memory multicore system; shared-memory parallelism; Approximation methods; Eddy currents; Electromagnetic heating; Linear systems; Memory management; Parallel processing; Sparse matrices; Eddy currents; FEMs; linear systems; parallel algorithms; sparse matrices;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2013.2284024
Filename :
6748995
Link To Document :
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