How much does network contention affect distributed shared memory performance?

Donglai Dai, D. Panda
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引用次数: 37

Abstract

Most of recent research on distributed shared memory (DSM) systems have focused on either careful design of node controllers or cache coherence protocols. While evaluating these designs, simplified models of networks (constant latency or average latency based on the network size) are typically used. Such models completely ignore network contention. To help network designers to design better networks for DSM systems, in this paper; we focus on two goals: 1) to isolate and quantify the impact of network link contention and network interface contention on the overall performance of DSM applications and 2) to study the impact of critical architectural parameters on these two categories of network contention. We achieve these goals by evaluating a set of SPLASH2 benchmarks on a DSM simulator using three network models. For an 8/spl times/8 wormhole system, our results show that network contention can degrade performance up to 59.8%. Out of this, up to 7.2% is caused by network interface contention alone. The study indicates that network contention becomes dominant for DSM systems using small caches, wide cache line sizes, low degrees of associativity, high processing node speeds, high memory speeds, low network speeds, or small network link widths.
网络争用对分布式共享内存性能的影响有多大?
最近对分布式共享内存(DSM)系统的研究主要集中在节点控制器或缓存一致性协议的精心设计上。在评估这些设计时,通常使用简化的网络模型(基于网络大小的恒定延迟或平均延迟)。这种模型完全忽略了网络争用。为了帮助网络设计者更好地为DSM系统设计网络;我们专注于两个目标:1)隔离和量化网络链路争用和网络接口争用对DSM应用程序整体性能的影响;2)研究关键架构参数对这两类网络争用的影响。我们通过在DSM模拟器上使用三种网络模型评估一组SPLASH2基准来实现这些目标。对于8/spl次/8虫洞系统,我们的结果表明,网络争用会使性能降低59.8%。其中,高达7.2%是由网络接口争用引起的。研究表明,对于使用小缓存、宽缓存线大小、低关联度、高处理节点速度、高内存速度、低网络速度或小网络链路宽度的DSM系统,网络争用成为主导。
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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