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Fault diagnosis in hypercube multiprocessor systems
Song X.1; Ye X.2; Zhou J.2
2001-12-01
Source PublicationInternational Journal of Computer Mathematics
ISSN00207160
Volume77Issue:3Pages:355-372
AbstractHypercubes 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.
KeywordClustered faults Diagnosis method Hypercube
URLView the original
Language英語English
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.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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