Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation - Calcul Intensif, Simulation, Optimisation Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Magnetics Année : 2014

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

Résumé

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
Fichier principal
Vignette du fichier
Amestoy_12721.pdf (2.26 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01123557 , version 1 (05-03-2015)

Identifiants

Citer

Patrick Amestoy, Alfredo Buttari, Guillaume Joslin, Jean-Yves L'Excellent, Mohamed Sid-Lakhdar, et al.. Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation. IEEE Transactions on Magnetics, 2014, vol. 50 (n° 2), pp. 1-4. ⟨10.1109/TMAG.2013.2284024⟩. ⟨hal-01123557⟩
504 Consultations
327 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More