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Performance analysis of synchronized iterative algorithms on multiprocessor systems

机译:多处理器系统上同步迭代算法的性能分析

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A statistical model of parallel processing and a performance evaluation technique are introduced. A task is characterized by the number of atoms and by activity. An atom is the smallest part of computation that cannot be distributed to multiple processors and all atoms of a task are assumed to be equal in computational effort. Furthermore, atoms of the task became active with a fixed probability a called the activity. The task is equally divided among processors and the computation is synchronized at periodic instances when the results can be shared. The amount of computational activity of a processor within the period between synchronizations is assumed to be a binomial random variable. The performance of the multiprocessor system is derived from the maximum order-statistic of these random variables. The theoretical performance predicted by the analysis agrees well with the reported experimental performance of logic simulation of production VLSI chips, and several observed phenomena are explainable.
机译:介绍了并行处理的统计模型和性能评估技术。任务以原子数和活动为特征。原子是无法分配给多个处理器的计算的最小部分,并且假定任务的所有原子在计算工作量上均相等。此外,任务的原子以固定概率激活,称为活动。当可以共享结果时,任务在处理器之间平均分配,并且在定期实例中同步计算。同步之间的时间段内处理器的计算活动量假定为二项式随机变量。多处理器系统的性能是从这些随机变量的最大顺序统计中得出的。通过分析预测的理论性能与生产的VLSI芯片逻辑仿真的实验性能非常吻合,并且可以观察到一些现象。

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