1995
DOI: 10.1109/12.392844
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Fault-tolerant wormhole routing algorithms for mesh networks

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Cited by 267 publications
(208 citation statements)
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“…To analyze the performance of faulttolerant systems, it is important to identify and quantify the fault regions, which may occur in the network. Faulty regions extended by faulty components, may form convex (also known as block faults) or concave shape [3,[12][13][14][15][16].…”
Section: Fault Patternsmentioning
confidence: 99%
See 1 more Smart Citation
“…To analyze the performance of faulttolerant systems, it is important to identify and quantify the fault regions, which may occur in the network. Faulty regions extended by faulty components, may form convex (also known as block faults) or concave shape [3,[12][13][14][15][16].…”
Section: Fault Patternsmentioning
confidence: 99%
“…In recent years, many researchers have addressed to several issues in the field of fault-tolerance and reliability analysis of large scale parallel and distributed systems [4][5][6][7][8][9][10][11][12][13][14][15][16]. These researches span a diverse range of systems and applications such as massively parallel processors [8], cluster-based systems [9], mobile systems [10], sensor networks [11], and more recently network on chip [1].…”
Section: Introductionmentioning
confidence: 99%
“…Each node u has an address u 1 ; u 2 ; :::; u n , where u i = 0 ; 1; ; k , 1 Routing is a process of sending a message from a source to a destination. A routing is minimal if the length of the routing path from the source to the destination is the minimal distance between these two nodes.…”
Section: K-ary N-dimensional Meshesmentioning
confidence: 99%
“…By proper control of virtual channels, network flow control can be easily implemented [7]. Also to increase the fault tolerance in a network, the concept of virtual channel has been utilized [8], [9]. However, in order to maximize its utilization, allocation of virtual channels is a critical issue in designing routing algorithms [10], [11].…”
Section: Introductionmentioning
confidence: 99%