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The hierarchical hypercube: a new interconnection topology for massively parallel systems

机译:分层超立方体:用于大规模并行系统的新互连拓扑

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Interconnection networks play a crucial role in the performance of parallel systems. This paper introduces a new interconnection topology that is called the hierarchical hypercube (HHC). This topology is suitable for massively parallel systems with thousands of processors. An appealing property of this network is the low number of connections per processor, which enhances the VLSI design and fabrication of the system. Other alluring features include symmetry and logarithmic diameter, which imply easy and fast algorithms for communication. Moreover, the HHC is scalable; that is it can embed HHC's of lower dimensions. The paper presents two algorithms for data communication in the HHC. The first algorithm is for one-to-one transfer, and the second is for one-to-all broadcasting. Both algorithms take O(log/sub 2/ k), where k is the total number of processors in the system. A wide class of problems, the divide & conquer class (D&Q), is shown to be easily and efficiently solvable on the HHC topology. Parallel algorithms are provided to describe how a D&Q problem can be solved efficiently on an HHC structure. The solution of a D&Q problem instance having up to k inputs requires a time complexity of O(log/sub 2/ k).
机译:互连网络在并行系统的性能中起着至关重要的作用。本文介绍了一种新的互连拓扑,称为分层超立方体(HHC)。此拓扑适用于具有数千个处理器的大规模并行系统。该网络的一个吸引人的特性是每个处理器的连接数量很少,这增强了VLSI设计和系统制造。其他诱人的功能包括对称性和对数直径,这意味着可以轻松快捷地进行通信。此外,HHC具有可扩展性;也就是说,它可以嵌入较小尺寸的HHC。本文提出了两种在HHC中进行数据通信的算法。第一种算法用于一对一传输,第二种算法用于一对一广播。两种算法都取O(log / sub 2 / k),其中k是系统中处理器的总数。事实证明,在HHC拓扑上可以轻松有效地解决广泛的问题,即分而治之类(D&Q)。提供了并行算法来描述如何在HHC结构上有效解决D&Q问题。具有多达k个输入的D&Q问题实例的解决方案需要时间复杂度O(log / sub 2 / k)。

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