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A semi-Markov model for the performance of multiple-bus systems

机译:用于多总线系统性能的半马尔可夫模型

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This paper presents a discrete time model of memory interference in multiprocessor systems employing multiple-bus interconnection networks. It differs from earlier models in its ability to model variable connection time and arbitrary inter-request time. The model describes each processing element's behavior by means of a semi-Markov process. It takes as input the number of processing elements, the number of memory modules, the number of buses, the mean think time of the processing elements, and the first and second moments of the connection time between processing elements and memories. The model produces as output the memory bandwidth, processing element utilization, memory module utilization, average queue length at a memory, and average waiting time experienced by a processing element while waiting to access a memory. Using the model, it is possible to analyze the interaction of the input parameters on the system performance. This modeling capability is attained without having to employ a complex Markov chain. In fact, a four-state semi-Markov process is sufficient regardless of the think and connection time distributions. The accuracy and capability of the model is illustrated.
机译:本文提出了采用多总线互连网络的多处理器系统中存储器干扰的离散时间模型。它与早期模型的不同之处在于它对可变连接时间和任意请求间时间进行建模的能力。该模型通过半马尔可夫过程描述了每个处理元素的行为。它以处理元件的数量,存储模块的数量,总线的数量,处理元件的平均思考时间以及处理元件与存储器之间的连接时间的第一时刻和第二时刻作为输入。该模型输出内存带宽,处理元素利用率,内存模块利用率,内存中的平均队列长度以及处理元素在等待访问内存时经历的平均等待时间作为输出。使用该模型,可以分析输入参数对系统性能的交互作用。无需使用复杂的马尔可夫链即可获得这种建模能力。实际上,无论思考时间和连接时间分布如何,四态半马尔可夫过程就足够了。说明了模型的准确性和功能。

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