一种具有最优通信相位的二维并行凸包算法

Jieliang Zhou, Xiaotie Deng, Patrick W. Dymond
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引用次数: 10

摘要

我们研究了在粗粒度并行计算机上寻找一组点的二维凸包的问题。最近,Goodrich设计了一种在P个处理器上对n个项目进行并行排序的算法,该算法在P/spl les/n的所有范围内实现了最优的通信相位数。Ferreira等人最近引入了一种确定性凸包算法,该算法具有n和P的恒定通信相位数,满足n/spl ges/P/sup 1+/spl epsiv//。本文给出了一种新的并行二维凸包算法,该算法在保持最优局部计算时间的同时,对P/spl les/n的所有值具有最优通信相位数界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 2-D parallel convex hull algorithm with optimal communication phases
We investigate the problem of finding the two-dimensional convex hull of a set of points on a coarse-grained parallel computer. Recently Goodrich has devised a parallel sorting algorithm for n items on P processors which achieves an optimal number of communication phases for all ranges of P/spl les/n. Ferreira et al. have recently introduced a deterministic convex hull algorithm with a constant number of communication phases for n and P satisfying n/spl ges/P/sup 1+/spl epsiv//. Here we obtain a new parallel 2-D convex hull algorithm with an optimal bound on number of communication phases for all values of P/spl les/n while maintaining optimal local computation time.
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