Fault-tolerant routing algorithms based on optimal path matrices

F. Gao, Zhongcheng Li
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Abstract

Presents a new concept - optimal path matrices (OPMs) - for fault-tolerant routing on hypercube multicomputers. OPMs stored on each node of a hypercube hold the fault information and indicate whether there is an optimal path from the node to a destination. Two fault-tolerant routing algorithms based on OPMs are proposed in order to maintain the matrices and to route messages from sources to destinations. One is a routing algorithm based on OPMs, which are filled with pre-collected information through information exchange between neighbors. It can easily establish a path for a message, and the length of the path is no greater than the Hamming distance between the source and the destination of the message plus two. The other routing algorithm is a modified depth-first search algorithm, which adopts a dynamic learning strategy to fill OPMs during normal message transmission and can find almost all the optimal paths. The memory overhead is n/sup 2/ words on each node of an n-dimensional hypercube.
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基于最优路径矩阵的容错路由算法
提出了超立方体多计算机容错路由的最优路径矩阵(OPMs)概念。存储在超立方体每个节点上的opm保存了故障信息,并指示从该节点到目的地是否存在最优路径。提出了两种基于opm的容错路由算法,以维护矩阵并实现消息从源路由到目的路由。一种是基于opm的路由算法,opm通过邻居间的信息交换填充预先收集的信息。它可以很容易地为消息建立一条路径,该路径的长度不大于消息的源和目的地之间的汉明距离加上2。另一种路由算法是一种改进的深度优先搜索算法,该算法采用动态学习策略填充正常消息传输过程中的opm,可以找到几乎所有的最优路径。在n维超立方体的每个节点上,内存开销为n/sup 2/ words。
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