Residential College | false |
Status | 已發表Published |
Fault diagnosis in hypercube multiprocessor systems | |
Song X.1; Ye X.2; Zhou J.2 | |
2001-12-01 | |
Source Publication | International Journal of Computer Mathematics |
ISSN | 00207160 |
Volume | 77Issue:3Pages:355-372 |
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. © 2001 OPA (Overseas Publishers Association) N.V. Published by license under the Gordon and Breach Science Publishers imprint. |
Keyword | Clustered faults Diagnosis method Hypercube |
URL | View the original |
Language | 英語English |
Fulltext Access | |
Document Type | Journal article |
Collection | University of Macau |
Affiliation | 1.University of Montreal 2.Inner Mongolia University China |
Recommended Citation GB/T 7714 | Song X.,Ye X.,Zhou J.. Fault diagnosis in hypercube multiprocessor systems[J]. International Journal of Computer Mathematics, 2001, 77(3), 355-372. |
APA | Song X.., Ye X.., & Zhou J. (2001). Fault diagnosis in hypercube multiprocessor systems. International Journal of Computer Mathematics, 77(3), 355-372. |
MLA | Song X.,et al."Fault diagnosis in hypercube multiprocessor systems".International Journal of Computer Mathematics 77.3(2001):355-372. |
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