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The extended cube connected cycles: an efficient interconnection for massively parallel systems

机译:扩展的立方体连接循环:大规模并行系统的有效互连

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摘要

The hypercube structure is a very widely used interconnection topology because of its appealing topological properties. For massively parallel systems with thousands of processors, the hypercube suffers from a high node fanout which makes such systems impractical and infeasible. In this paper, we introduce an interconnection network called The Extended Cube Connected Cycles (ECCC) which is suitable for massively parallel systems. In this topology the processor fanout is fixed to four. Other attractive properties of the ECCC include a diameter of logarithmic order and a small average interprocessor communication distance which imply fast data transfer. The paper presents two algorithms for data communication in the ECCC. The first algorithm is for node-to-node communication and the second is for node-to-all broadcasting. Both algorithms take O(log N) time units, where N is the total number of processors in the system. In addition, the paper shows that a wide class of problems, the divide and conquer class, is easily and efficiently solvable on the ECCC topology. The solution of a divide and conquer problem of size N requires O(log N) time units.
机译:由于其具有吸引人的拓扑特性,超立方体结构是一种非常广泛使用的互连拓扑。对于具有数千个处理器的大规模并行系统,超立方体具有高节点扇出的缺点,这使得此类系统不切实际且不可行。在本文中,我们介绍了一种适用于大规模并行系统的互连网络,称为扩展立方体连接循环(ECCC)。在这种拓扑中,处理器扇出固定为四个。 ECCC的其他吸引人的特性包括对数阶的直径和较小的平均处理器间通信距离,这意味着快速的数据传输。本文提出了两种ECCC中的数据通信算法。第一种算法用于节点到节点的通信,第二种算法用于节点到所有的广播。两种算法都采用O(log N)个时间单位,其中N是系统中处理器的总数。此外,本文表明,在ECCC拓扑上,可以轻松有效地解决各种问题,即分而治之。大小为N的分而治之问题的解决方案需要O(log N)个时间单位。

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