Sparse matrix multiplication on vector computers

Jocelyne Erhel 1
1 CALCPAR - Calculateurs Parallèles
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : An important kernel of scientific software is the multiplication of a sparse matrix by a vector. The efficiency of the algorithm on a vector computer depends on the storage scheme. With a storage by rows, performances are limited in general by the small vector length. Therefore a storage by so-called generalized colums has been designed, which provides long vectors and consequently good performances. However, it is not adapted to the symmetric case. A new type of storage, by sparse diagonals, has then been defined. It still exhibits long vectors, with performances as good as previously, but it is also well-suited to symmetric matrices. Results on a Cray2, with various sparse matrices, compare the three algorithms, and show the efficiency of the storage by sparse diagonale.
Type de document :
Rapport
[Research Report] RR-1101, INRIA. 1989
Liste complète des métadonnées

https://hal.inria.fr/inria-00075458
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 18:15:53
Dernière modification le : mercredi 11 avril 2018 - 02:00:24
Document(s) archivé(s) le : mardi 12 avril 2011 - 23:11:56

Fichiers

Identifiants

  • HAL Id : inria-00075458, version 1

Citation

Jocelyne Erhel. Sparse matrix multiplication on vector computers. [Research Report] RR-1101, INRIA. 1989. 〈inria-00075458〉

Partager

Métriques

Consultations de la notice

222

Téléchargements de fichiers

58