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Parallel Congruent Regions on a Mesh-Connected Computer

机译:网格连接计算机上的并行一致区域

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摘要

In this paper, we present a parallel algorithm for solving the congruent region problem of locating all the regions congruent to a test region in a planar figure on a mesh-connected computer(MCC). Given a test region with κ edges and a planar figure with n edges, it can be executed in O(n~(1/2)) time if each edge in the test region has unique length; otherwise in O(κn~(1/2)) time on MCC with n processing elements(PE's), and in O(n~(1/2)) time for both cases using κn PE's, which is optimal on MCC within constant factor. We shall show that this can be achieved by deriving a new property for checking congruency between two regions which can be implemented efficiently using RAR and RAW operations. We also show that our parallel algorithm can be directly used to solve point set pattern matching by simple reduction to the congruent region problem, and it can be generally implemented on other distributed memory models.
机译:在本文中,我们提出了一种并行算法,用于解决在网格连接的计算机(MCC)上将平面图中所有与测试区域相一致的区域定位在一起的一致区域问题。给定一个具有κ边缘的测试区域和一个具有n个边缘的平面图形,如果测试区域中的每个边缘具有唯一的长度,则可以在O(n〜(1/2))时间内执行;否则,在具有n个处理元素(PE)的MCC上的O(κn〜(1/2))时间中,对于两种情况,在使用κnPE的两种情况下的O(n〜(1/2))时间中,这对于MCC在常数内因子。我们将证明,可以通过派生一个新的属性来检查两个区域之间的一致性来实现,这可以使用RAR和RAW操作有效地实现。我们还表明,我们的并行算法可以通过简单地简化为一致区域问题而直接用于解决点集模式匹配,并且通常可以在其他分布式内存模型上实现。

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