确定性抛硬币在最优并行列表排序中的应用

Q4 Mathematics
Richard Cole , Uzi Vishkin
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引用次数: 432

摘要

考虑以下问题:给定一个长度为n的链表,计算链表中每个元素到链表末尾的距离。这个问题有两种标准的确定性算法:一种是线性时间序列算法,另一种是使用n个处理器的O(log n)时间并行算法。针对这一问题,我们提出了新的确定性并行算法。我们最强的结果是(1)O(log n log* n)时间使用n/(log n log* n)处理器(该算法实现了最佳加速);(2)对于任何固定的正整数k,使用n log(k)n/log n个处理器,耗时O(log n)。该算法应用了一种新颖的“随机”确定性技术。这种技术可以在并行和分布式计算中快速有效地打破明显对称的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deterministic coin tossing with applications to optimal parallel list ranking

The following problem is considered: given a linked list of length n, compute the distance from each element of the linked list to the end of the list. The problem has two standard deterministic algorithms: a linear time serial algorithm, and an O(log n) time parallel algorithm using n processors. We present new deterministic parallel algorithms for the problem. Our strongest results are (1) O(log n log* n) time using n/(log n log* n) processors (this algorithm achieves optimal speed-up); (2) O(log n) time using n log(k)n/log n processors, for any fixed positive integer k. The algorithms apply a novel “random-like” deterministic technique. This technique provides for a fast and efficient breaking of an apparently symmetric situation in parallel and distributed computation.

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来源期刊
信息与控制
信息与控制 Mathematics-Control and Optimization
CiteScore
1.50
自引率
0.00%
发文量
4623
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