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Optimal all-to-all personalized exchange in d-nary banyan multistage interconnection networks

机译:d榕树多级互连网络中的最佳全包式个性化交换

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All-to-all personalized exchange occurs in many important applications in parallel processing. In the past two decades, algorithms for all-to-all personalized exchange were mainly proposed for hypercubes, meshes, and tori. Recently, Yang and Wang (IEEE Trans Parallel Distrib Syst 11:261–274, 2000) proposed an optimal all-to-all personalized exchange algorithm for binary (each switch is of size 2×2) banyan multistage interconnection networks. It was pointed out in Massini (Discret Appl Math 128:435–446, 2003) that the algorithm in Yang, Wang (IEEE Trans Parallel Distrib Syst 11:261–274, 2000) depends on the network topologies and requires pre-computation and memory allocation for a Latin square. Thus in (Discret Appl Math 128:435–446, 2003), Massini proposed a new optimal algorithm, which is independent of the network topologies and does not require pre-computation or memory allocation for a Latin square. Unfortunately, Massini’s algorithm has a flaw and does not realize all-to-all personalized exchange. In this paper, we will correct the flaw and generalize Massini’s algorithm to be applicable to d-nary (each switch is of size d×d) banyan multistage interconnection networks.
机译:全面的个性化交换发生在并行处理的许多重要应用中。在过去的二十年中,主要针对超立方体,网格和花托提出了用于全部到全部个性化交换的算法。最近,Yang和Wang(IEEE Trans Parallel Distrib Syst 11:261-274,2000)提出了一种针对二进制(每个交换机的大小为2×2)印度榕树多级互连网络的最佳的全包个性化交换算法。在Massini(Discret Appl Math 128:435–446,2003)中指出,Yang,Wang(IEEE Trans Parallel Distrib Syst 11:261–274,2000)中的算法取决于网络拓扑,并且需要预先计算并拉丁方的内存分配。因此,在(Discret Appl Math 128:435–446,2003)中,Massini提出了一种新的最佳算法,该算法与网络拓扑结构无关,不需要对拉丁方进行预计算或内存分配。不幸的是,马西尼(Massini)的算法存在缺陷,无法实现全面的个性化交换。在本文中,我们将纠正该缺陷,并推广适用于d-ary(每个开关尺寸为d×d)印度榕树多级互连网络的Massini算法。

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