Reconfigurable mesh algorithms for summing up binary values and its applications

Y.-C. Chen, W.-T. Cheng
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引用次数: 2

Abstract

The authors present an asymptotically efficient parallel algorithm for summing up n binary values on reconfigurable meshes. They show that, given n binary values on an n/sup 1/2/*n/sup 1/2/ reconfigurable mesh with each processor containing one value initially, the summation of the n binary values can be performed in O(log log n) time. Several applications of the algorithm are presented. It is shown that summing up n b-bit numbers can be performed in O(b log log n) time on an n/sup 1/2/*n/sup 1/2/ reconfigurable mesh. Next, the histogram computation, of an n*n image can be completed in O(L* log log n) time on an n*n reconfigurable mesh, where L is the number of gray-level values. A parallel algorithm for computing the area and perimeter of image components in an n*n image is developed on an n*n reconfigurable mesh. The resulting time complexity is O(C log log n) time, where C is the number of image components. The implementation of enumeration sort on an n*n/sup 1/2/*n/sup 1/2/ reconfigurable mesh is shown. O(log log n) time is required for the sorting algorithm.<>
二进制值求和的可重构网格算法及其应用
提出了一种可重构网格上n个二值求和的渐近高效并行算法。他们表明,在n/sup 1/2/*n/sup 1/2/可重构网格上给定n个二进制值,每个处理器初始包含一个值,n个二进制值的求和可以在O(log log n)时间内完成。给出了该算法的几种应用。结果表明,在n/sup 1/2/*n/sup 1/2/可重构网格上,可以在O(b log log n)时间内完成n个b位数字的求和。接下来,在n*n可重构网格上,n*n图像的直方图计算可以在O(L* log log n)时间内完成,其中L为灰度值的个数。提出了一种在n*n可重构网格上计算n*n图像中图像分量的面积和周长的并行算法。得到的时间复杂度为O(C log log n)时间,其中C为图像分量的个数。给出了在n*n/sup 1/2/*n/sup 1/2/可重构网格上枚举排序的实现。排序算法需要O(log log n)时间。>
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