Name
Abstract | ||
|---|---|---|
Hypercubes are viewed as good candidates for parallel processing, because a number of topologies, such as rings, trees, and meshes, can be mapped onto the hypercubes. In this paper, we study a system level diagnosis method for clustered faults in hypercube systems. We investigate the local and global performance of the method under the Bernoulli failure distribution. We demonstrate that the diagnosis scheme can identify almost all processors successfully even if the percentage of fault-free processors is low (much lower than 50%) while almost all processors are guaranteed to be correctly identified. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1080/00207160108805072 | INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS |
Keywords | Field | DocType |
hypercube, clustered faults, diagnosis method | Hypercube multiprocessor,Polygon mesh,Parallel processing,Parallel computing,Multiprocessing,Network topology,Mathematics,Hypercube,Bernoulli's principle,System level | Journal |
Volume | Issue | ISSN |
77 | 3 | 0020-7160 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyu Song | 1 | 57 | 11.26 |
| Xinming Ye | 2 | 52 | 11.62 |
| Jiantao Zhou | 3 | 580 | 78.87 |