The Comparison Approach to Multiprocessor Fault Diagnosis
IEEE Transactions on Computers
On Self-Diagnosable Multiprocessor Systems: Diagnosis by the Comparison Approach
IEEE Transactions on Computers
“Hypermeshes”: optical interconnection networks for parallel computing
Journal of Parallel and Distributed Computing
Diagnosability of Hypercubes and Enhanced Hypercubes under the Comparison Diagnosis Model
IEEE Transactions on Computers
IEEE Transactions on Parallel and Distributed Systems
On the design of hypermesh interconnection networks for multicomputers
Journal of Systems Architecture: the EUROMICRO Journal
Hypermeshes: implementation and performance
Journal of Systems Architecture: the EUROMICRO Journal
Gemini: An Optical Interconnection Network for Parallel Processing
IEEE Transactions on Parallel and Distributed Systems
A comparison connection assignment for diagnosis of multiprocessor systems
ISCA '80 Proceedings of the 7th annual symposium on Computer Architecture
Conditional Diagnosability Measures for Large Multiprocessor Systems
IEEE Transactions on Computers
Hamming hypermeshes: high performance interconnection networks for pin-out limited systems
Performance Evaluation
On diagnosability of large multiprocessor networks
Discrete Applied Mathematics
Conditional diagnosability of hypercubes under the comparison diagnosis model
Journal of Systems Architecture: the EUROMICRO Journal
One-step t-fault diagnosis for hypermesh optical interconnection multiprocessor systems
Journal of Systems and Software
Hypercube connected rings: a scalable and fault-tolerant logical topology for optical networks
Computer Communications
Theoretical Computer Science
Linearly many faults in dual-cube-like networks
Theoretical Computer Science
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The hypermeshes are a family of promising optical interconnection topologies for multiprocessor systems. This paper is concerned with the conditional diagnosability of hypermeshes under the comparison model. We prove that, for n=3, k=4, the conditional diagnosability of k^n-hypermesh is 3n(k-1)-2k-1. This result shows that the hypermeshes possess strong self-diagnosing ability.