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Communication Delay in Wormhole-Switched Tori Networks under Bursty Workloads

机译:突发工作负载下虫洞交换Tori网络的通信延迟

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Workloads generated by the real-world parallel applications that are executed on a multicomputer have a strong effect on the performance of its interconnection network―the hardware fabric supporting communication among individual processors. Existing multicomputer networks have been primarily designed and analysed under the assumption that the workload follows the non-bursty Poisson arrival process. As a step towards obtaining a clear understanding of network performance under various workloads, this paper presents a new analytical model for computing message latency in wormhole switched torus networks in the presence of bursty traffic, based on the well-known Markov-Modulated Poisson Process (MMPP). In order to derive the model, the approach for accurately capturing the properties of the composite MMPPs is applied to characterize traffic on network channels. Moreover, a general method has been proposed for calculating the probability of virtual channel occupancy when the traffic on network channels follows a multi-state MMPP process. Simulation experiments reveal that the model exhibits a good degree of accuracy.
机译:在多台计算机上执行的,由现实世界中的并行应用程序生成的工作负载对其互连网络的性能有很大影响,该互连网络是支持各个处理器之间通信的硬件结构。现有的多计算机网络主要是在工作量遵循非突发性Poisson到达过程的前提下进行设计和分析的。为了清楚地了解各种工作负载下的网络性能,本文基于著名的马尔可夫调制泊松过程((Markov-Modulated Poisson Process),提出了一种新的分析模型,用于计算存在突发流量的蠕虫交换环网中的消息延迟。 MMPP)。为了推导模型,可以使用精确捕获复合MMPPs属性的方法来表征网络信道上的流量。此外,已经提出了一种用于在网络信道上的业务遵循多状态MMPP过程时计算虚拟信道占用概率的通用方法。仿真实验表明,该模型具有较高的准确性。

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