Name
Abstract | ||
|---|---|---|
In this paper, an exhaustive parallel library of sparse iterative methods and preconditioners in HPF and MPI was developed,
and a model for predicting the performance of these codes is presented. This model can be used both by users and by library
developers to optimize the efficiency of the codes, as well as to simplify their use. The information offered by this model
combines theoretical features of the methods and preconditioners in addition to certain practical considerations and predictions
about aspects of the performance of their execution in distributed memory multiprocessors.
|
Year | DOI | Venue |
|---|---|---|
2004 | 10.1023/B:SUPE.0000020177.21935.52 | International Conference on Computational Science |
Keywords | Field | DocType |
iteration method,distributed memory,mpi | Computer science,Iterative method,Parallel computing,Distributed memory,Performance prediction | Journal |
Volume | Issue | ISSN |
28 | 2 | 1573-0484 |
ISBN | Citations | PageRank |
3-540-43593-X | 5 | 0.61 |
References | Authors | |
11 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vicente Blanco Pérez | 1 | 57 | 12.95 |
| Patricia González | 2 | 78 | 13.06 |
| José Carlos Cabaleiro | 3 | 45 | 8.78 |
| Dora Blanco Heras | 4 | 51 | 11.46 |
| Tomás F. Pena | 5 | 68 | 16.56 |
| Juan J. Pombo | 6 | 17 | 2.85 |
| F. F. Rivera | 7 | 90 | 15.12 |