Parallel sparse matrix vector multiplication using a shared virtual memory environment
| Author(s) : | Thierry Priol Jocelyne Erhel Francois Bodin, |
| Publisher : | N/A |
| Publication Date : | 1993 |
| ISSN : | N/A |
| Abstract : | Many iterative schemes in scientific applications require the multiplication of a sparse matrix by a vector. This kernel has been mainly studied on vector processors and shared-memory parallel computers. In this paper, we address the implementation issues when using a shared virtual memory system on a distributed memory parallel computer. We study in details the impact of loop distribution schemes in order to design an efficient algorithm. 1, |