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How much does network contention affect distributed shared memory performance?

机译:网络竞争对分布式共享内存性能有多大影响?

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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.
机译:近期对分布式共享内存(DSM)系统的大多数研究都集中在节点控制器的精心设计或高速缓存一致性协议上。在评估这些设计时,通常使用简化的网络模型(恒定延迟或基于网络大小的平均延迟)。这样的模型完全忽略了网络争用。本文旨在帮助网络设计人员为DSM系统设计更好的网络。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)研究关键体系结构参数对这两类网络争用的影响。我们通过使用三种网络模型在DSM模拟器上评估一组SPLASH2基准来实现这些目标。对于8 / spl times / 8虫洞系统,我们的结果表明,网络争用会使性能下降多达59.8%。其中,高达7.2%是仅由网络接口​​争用引起的。该研究表明,对于使用小型缓存,宽缓存行大小,低关联度,高处理节点速度,高存储速度,低网络速度或较小网络链接宽度的DSM系统,网络争用变得占主导地位。

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