Titre :

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

Auteur(s) :

de Oliveira Rodrigues, Antonio Wendell [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Contributions of the Data parallelism to real time [DART]
Guyomarch, Frédéric [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Contributions of the Data parallelism to real time [DART]
Le Menach, Yvonnick [Auteur]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Dekeyser, Jean-Luc [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Contributions of the Data parallelism to real time [DART]

Titre de la manifestation scientifique :

Compumag 2009

Ville :

Florianopolis

Pays :

Brésil

Date de début de la manifestation scientifique :

2009-11-22

Date de publication :

2009-11-22

Discipline(s) HAL :

Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Informatique [cs]/Systèmes embarqués
Informatique [cs]/Modélisation et simulation

Résumé en anglais : [en]

Nowadays, several industrial applications are being ported to parallel architectures. In fact, these platforms allow acquire more performance for system modelling and simulation. In the electric machines area, there are ...
Lire la suite >Nowadays, several industrial applications are being ported to parallel architectures. In fact, these platforms allow acquire more performance for system modelling and simulation. In the electric machines area, there are many problems which need speed-up on their solution. This paper examines the parallelism of sparse matrix solver on the graphics processors. More specifically, we implement the conjugate gradient technique with input matrix stored in CSR, and Symmetric CSR and CSC formats. This method is one of the most efficient iterative methods available for solving the finite-element basis functions of Maxwell's equations. The GPU (Graphics Processing Unit), which is used for its implementation, provides mechanisms to parallel the algorithm. Thus, it increases significantly the computation speed in relation to serial code on CPU based systems.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL