百亿亿级系统多层互连网络的设计探索

J. Navaridas, Joshua Lant, J. A. Pascual, M. Luján, J. Goodacre
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引用次数: 1

摘要

当涉及到扩展计算系统时,互连网络是主要的限制因素之一。在本文中,我们探讨了拓扑的杂交在最先进的百亿亿级计算系统的设计中的作用。更准确地说,我们比较了几种混合拓扑,并在处理大规模应用程序流量时与常见的单一拓扑进行了比较。此外,我们还探讨了混合拓扑的不同方面如何影响系统的整体性能。特别是,我们发现,只要连接密度足够高(每两个或四个节点一个连接似乎是最佳点),混合拓扑可以胜过最先进的环面和脂肪树网络,并且子图的大小被限制在每个维度的几个节点内。此外,我们还研究了在互连的上层使用的两种不同的替代方案,即胖树和广义超立方体,发现拓扑之间几乎没有区别,主要取决于要执行的工作负载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design Exploration of Multi-tier Interconnection Networks for Exascale Systems
Interconnection networks are one of the main limiting factors when it comes to scale out computing systems. In this paper, we explore what role the hybridization of topologies has on the design of an state-of-the-art exascale-capable computing system. More precisely we compare several hybrid topologies and compare with common single-topology ones when dealing with large-scale applicationlike traffic. In addition we explore how different aspects of the hybrid topology can affect the overall performance of the system. In particular, we found that hybrid topologies can outperform state-of-the-art torus and fattree networks as long as the density of connections is high enough--one connection every two or four nodes seems to be the sweet spot--and the size of the subtori is limited to a few nodes per dimension. Moreover, we explored two different alternatives to use in the upper tiers of the interconnect, a fattree and a generalised hypercube, and found little difference between the topologies, mostly depending on the workload to be executed.
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