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Triply-Logarithmic Parallel Upper and Lower Bounds for Minimum and Range Minima over Small Domains

机译:小域上最小值和范围最小值的三对数平行上限和下限

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We consider the problem of computing the minimum of n values, and several well-known generalizations [prefix minima, range minima, and all nearest smaller values (ANSV)] for input elements drawn from the integer domain [1 … s], where s ≥ n. In this article we give simple and efficient algorithms for all of the preceding problems. These algorithms all take O(log log log s) time using an optimal number of processors and O(ns~ε) space (for constant ε < 1) on the COMMON CRCW PRAM. The best known upper bounds for the range minima and ANSV problems were previously O(log log n) (using algorithms for unbounded domains). For the prefix minima and for the minimum problems, the improvement is with regard to the model of computation. We also prove a lower bound of Ω(log log n) for domain size s = 2~(Ω(log n log log n)). Since, for s at the lower end of this range, log log n = Ω(log log log s), this demonstrates that any algorithm running in o(log log log s) time must restrict the range of s on which it works.
机译:我们考虑了计算n值最小值的问题,以及从整数域[1…s]提取的输入元素的几种众所周知的概括[前缀最小值,范围最小值和所有最接近的较小值(ANSV)]。 ≥n。在本文中,我们为上述所有问题提供了简单有效的算法。这些算法都使用最佳处理器数量和COMMON CRCW PRAM上的O(ns〜ε)空间(对于恒定ε<1)占用O(log log log s)时间。范围最小值和ANSV问题的最著名的上限以前是O(log log n)(使用无界域的算法)。对于前缀最小值和最小问题,改进之处在于计算模型。对于域大小s = 2〜(Ω(log n log log n)),我们还证明了Ω(log log n)的下界。由于对于此范围下限的s,log log n =Ω(log log log s),这表明在o(log log log s)时间内运行的任何算法都必须限制其工作的s范围。

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