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

机译:排序点的简单并行凸包算法和多核处理器性能评估

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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.
机译:找到大量的应用程序,计算平面中一组排序点的凸包的问题是模式识别,形态学和图像处理中的基本任务之一。本文的主要贡献是展示了一种简单的并行算法,用于计算平面中一组n个排序点的凸包,并评估双四核处理器的性能。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。由于无法实现大于8的加速因子,因此我们用于计算凸包的并行实现接近最佳。此外,对于2或4个处理器,我们实现了超线性加速。

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