基于仿真的多轨蜻蜓级网络链路故障恢复能力评估

Neil McGlohon, R. Ross, C. Carothers
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引用次数: 0

摘要

在由数千个部件组成的高性能计算系统的长期运行中,许多部件不可避免地会出现故障。当前HPC互连路由器连接的趋势是从无源铜缆转向基于有源光缆。光链路在更小的线规下提供更大的最大带宽,更少的信号损失和更低的长距离延迟,并且没有来自附近其他电缆的电磁干扰的风险。然而,有源光链路的好处是有代价的:与无源铜电缆相比,组件故障的风险增加了。增加网络弹性的一种方法是增加冗余链路;如果任意两台路由器之间的多条链路中的一条发生故障,它们之间仍然存在一条单跳路径。但是,增加冗余链路的代价是使用更多的路由器端口进行路由器-路由器连接,减少了使用固定路由器基数的网络的最大规模。或者,可以在互连中添加路由器的辅助平面,保持计算节点端点的数量相同,但每个节点有多个数据包注入轨道,每个路由器平面至少有一个。这种多轨道-多平面类型的网络互连允许网络的总体大小保持不变,但即使使用较低规格的硬件,也会带来很大的性能优势,同时还增加了网络对链路故障的恢复能力。我们扩展了CODES框架,以支持多轨道多平面1D-Dragonfly和Megafly网络,并允许添加动态故障感知路由的任意链路故障模式,以便可以测量拓扑弹性。我们使用这个扩展来评估两个类似大小的1D-Dragonfly和Megafly网络,有和没有辅助路由器平面,我们比较它们的应用程序通信性能与不断增加的链路故障水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Link Failure Resilience in Multirail Dragonfly-Class Networks through Simulation
During long-term operation of a high-performance computing (HPC) system with thousands of components, many components will inevitably fail. The current trend in HPC interconnect router linkage is moving away from passive copper and toward active optical-based cables. Optical links offer greater bandwidth maximums in a smaller wire gauge, less signal loss, and lower latency over long distances and have no risk of electromagnetic interference from other nearby cables. The benefits of active optical links, however, come with a cost: an increased risk of component failure compared with that of passive copper cables. One way to increase the resilience of a network is to add redundant links; if one of a multiplicity of links between any two routers fails, a single hop path will still exist between them. But adding redundant links comes at the cost of using more router ports for router-router linkage, reducing the maximum size of the network with a fixed router radix. Alternatively, a secondary plane of routers can be added to the interconnect, keeping the number of compute node endpoints the same but where each node has multiple rails of packet injection, at least one per router plane. This multirail-multiplanar type of network interconnect allows the overall size of the network to be unchanged but results in a large performance benefit, even with lower-specification hardware, while also increasing the resilience of the network to link failure. We extend the CODES framework to enable multirail-multiplanar 1D-Dragonfly and Megafly networks and to allow for arbitrary link failure patterns with added dynamic failure-aware routing so that topology resilience can be measured. We use this extension to evaluate two similarly sized 1D-Dragonfly and Megafly networks with and without secondary router planes, and we compare their application communication performance with increasing levels of link failure.
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