Name
Abstract | ||
|---|---|---|
An improved version of the QMRCGSTAB method (IQMRCGSTAB method) for solving large sparse linear systems with non-symmetric coefficient matrices is proposed. The proposed method combines elements of numerical stability and parallel algorithm design without increasing computational costs. Performance analysis shows that the IQMRCGSTAB method has better parallelism and scalability than the original method. Numerical experiments show the efficiency of the new method. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1080/00207160500113017 | INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS |
Keywords | Field | DocType |
linear systems, improved QMRCGSTAB method, massively parallel computing, inner product, global communication | Linear system,Computer science,Matrix (mathematics),Massively parallel,Parallel algorithm design,Computational science,Numerical stability,Scalability | Journal |
Volume | Issue | ISSN |
82 | 9 | 0020-7160 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingping Liu | 1 | 82 | 13.23 |
| Tongxiang Gu | 2 | 72 | 12.88 |
| Zhiqiang Sheng | 3 | 129 | 14.39 |
| Xudeng Hang | 4 | 14 | 2.45 |