A Case Study on Implementing Virtual 5D Torus Networks Using Network Components of Lower Dimensionality

Francisco J. Andújar, Juan A. Villar, J. L. Sánchez, F. J. Alfaro, J. Duato, H. Fröning
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引用次数: 1

Abstract

Several of the most powerful supercomputers in the Top500 and the Graph500 lists continue choosing a torus topology to interconnect a large number of compute nodes. In some cases, a torus network with five or six dimensions is implemented, however, one notices that the costs of implementing an interconnection network increase with the node degree. In previous works we defined and characterized the nD Twin (nDT) torus topology in order to virtually increase the dimensionality of a torus. This new topology reduces the distances between nodes and therefore increases network performance. In this work, we present how to build a 5DT torus network using commercial 6-port network cards. The main issues of this approach are detailed, and we present solutions these problems. Moreover we show, using the same components, that the performance of the 5DT torus network is higher than the performance of the 3D torus network for the same number of compute nodes.
利用低维网络组件实现虚拟5D环面网络的实例研究
在Top500和Graph500榜单中,一些最强大的超级计算机继续选择环面拓扑来连接大量计算节点。在某些情况下,实现五维或六维的环面网络,然而,人们注意到实现互连网络的成本随着节点度的增加而增加。在以前的工作中,我们定义和表征了nD孪生(nDT)环面拓扑,以增加环面的维数。这种新的拓扑减少了节点之间的距离,从而提高了网络性能。在这项工作中,我们介绍了如何使用商用6端口网卡构建5DT环面网络。详细介绍了该方法存在的主要问题,并提出了解决这些问题的方法。此外,我们表明,使用相同的组件,对于相同数量的计算节点,5DT环面网络的性能高于3D环面网络的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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