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A fast pessimistic one-step diagnosis algorithm for hypercube multicomputer systems

机译:超立方体多计算机系统的快速悲观一步诊断算法

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This paper describes a system-level diagnosis algorithm for hypercube multicomputer systems. The algorithm is based on the PMC model and can isolate all faulty processors to within a set that contains at most one fault-free processor. If we denote by N the total number of processors in a hypercube system to be diagnosed, then, based on the judiciously designed data structures, the algorithm can run in O(Nlog_2N) time; whereas the best-known diagnosis algorithm, the YML algorithm, runs in O(N~(2.5)) time. Consequently, the new algorithm is remarkably superior to the YML algorithm in terms of the time cost.
机译:本文介绍了超立方体多计算机系统的系统级诊断算法。该算法基于PMC模型,可以将所有故障处理器隔离到最多包含一个无故障处理器的集合中。如果我们用N表示要诊断的超多维数据集系统中的处理器总数,则基于经过精心设计的数据结构,该算法可以在O(Nlog_2N)时间内运行;而最著名的诊断算法YML算法运行时间为O(N〜(2.5))。因此,就时间成本而言,新算法明显优于YML算法。

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