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Time Optimal Node-to-Set Disjoint Paths Routing in Hypercubes

机译:超立方体中时间最优的节点到集合不相交路径路由

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摘要

Due to their simplicity, hypercubes are a popular topology for the interconnection network of massively parallel systems. One critical issue when dealing with such parallel systems is routing: data transmission is at the center of any operation or computation. Additionally, as the number of processors inside modern supercomputers is huge, and continuously growing, fault tolerance ought to be addressed. Hence, for a routing algorithm to generating node-disjoint paths is of high interest as it maximises the probability of establishing a fault-free path in a faulty environment. Also importantly, generating disjoint paths allows for time-efficient data transmission; transfers are able to be realised in parallel as two paths are ensured to share no common resource. In an n-dimensional hypercube, given a source node and k(k≤n) destination nodes, Rabin described an algorithm finding k node-disjoint paths between the source node and the destination nodes of optimal lengths (at most n + 1) in O(k~3 + kn) time. We describe in this paper a smart improvement to this algorithm to reduce its time complexity from O(k~3 + kn) to O(kn) which is time optimal.
机译:由于其简单性,超立方体是大规模并行系统互连网络的流行拓扑。处理此类并行系统时的一个关键问题是路由:数据传输是任何操作或计算的核心。另外,由于现代超级计算机中的处理器数量巨大且不断增长,因此必须解决容错问题。因此,对于生成节点不相交路径的路由算法非常重要,因为它最大化了在故障环境中建立无故障路径的可能性。同样重要的是,生成不相交的路径可以节省时间地传输数据。传输可以并行实现,因为确保两条路径不共享任何公共资源。在一个n维超立方体中,给定一个源节点和k(k≤n)个目标节点,Rabin描述了一种算法,该算法查找源节点和目标节点之间最优长度(最多n + 1)的k个节点不相交的路径。 O(k〜3 + kn)时间。我们在本文中描述了对该算法的智能改进,以将其时间复杂度从O(k〜3 + kn)降低到时间最佳的O(kn)。

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