A Simple Parallel Convex Hulls Algorithm for Sorted Points and the Performance Evaluation on the Multicore Processors

Masaya Nakagawa, Duhu Man, Yasuaki Ito, K. Nakano
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引用次数: 6

Abstract

Finding a vast array of applications, the problem of computing the convex hull of a set of sorted points in the plane is one of the fundamental tasks in pattern recognition, morphology and image processing. The main contribution of this paper is to show a simple parallel algorithm for computing the convex hull of a set of n sorted points in the plane and evaluate the performance on the dual quad-core processors. The experimental results show that, our implementation achieves a speed-up factor of approximately 7 using 8 processors. Since the speed-up factor of more than 8 is not possible, our parallel implementation for computing the convex hull is close to optimal. Also, for 2 or 4 processors, we achieved a super linear speed up.
一种简单的点排序并行凸包算法及其在多核处理器上的性能评价
计算平面上一组排序点的凸包是模式识别、形态学和图像处理的基本任务之一,有着广泛的应用。本文的主要贡献是展示了一个简单的并行算法来计算平面上n个排序点的凸包,并评估了双四核处理器上的性能。实验结果表明,我们的实现使用8个处理器实现了大约7的加速因子。由于加速因子不可能超过8,所以我们计算凸包的并行实现接近最优。此外,对于2或4个处理器,我们实现了超线性加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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