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Graphs Partitioning: An Optimal MIMD Queueless Routing for BPC-Permutations on Hypercubes

机译:图形分区:超级布的BPC偏移的最佳MIMD批量路由

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Bit-Permute-Complement permutations (BPC) constitute the subclass of particular permutations which have gained the more attention in the search of optimal routing of permutations on hypercubes. The reason of this attention comes from the fact that they care permutations for general-purpose computing like matrix transposing, vector reversal, bit shuffling and perfect shuffling. In this paper we revisit the optimal routing of BPC problem on hypercubes under MIMD queueless communication model through a new paradigm which takes advantage of their topology: the so-called graphs partitioning. We prove that BPC are partitionable in any dimension of the hypercube and that the resulting permutations are also BPC. It follows that any BPC on n-dimensional hypercube is routable in at most n steps of data exchanges, each one realizing the partition of the hypercube.
机译:位置换补充排列(BPC)构成特定排列的子类,这些排列在寻找超速上的置换的最佳路由中获得更加关注。这种关注的原因来自于他们关心矩阵输发,载体逆转,钻头混洗和完美的洗牌等通用计算的置换。在本文中,我们通过新的范例重新访问MIMD批量通信模型下的超级机器上的BPC问题的最佳路由,这是一个新的范例,它利用了他们的拓扑:所谓的图形分区。我们证明了BPC在HyperCube的任何维度中分区,并且所得的置换也是BPC。因此,在N维超立方体上的任何BPC都可以在最多N个数据交换机中路由,每个步骤都实现了HyperCube的分区。

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