可重构造网孔机器上k-近邻并行算法
A Parallel Algorithm for k-Nearest-Neighbor on Reconfigurable Meshes
-
摘要: 最近邻问题是计算几何学中的基本问题之一 ,k 近邻是最近邻的扩展 ,它在VLSI设计、数据库检索、模式匹配以及图像处理等领域有着广泛的应用背景 对于点数为N的平面点集S ,在规模为N×N的可重构造网孔机器上 ,提出了时间复杂度为O(k)的求S中所有点k 近邻的并行算法 该算法的时间复杂度已达到了该问题本身固有时间复杂度的下界Abstract: Nearest neighbor query is a basic problem of computational geometry As an extension of nearest neighbor query, k nearest neighbor is widely applied in the fields of VLSI design, data retrieval, pattern matching, graph processing, etc A parallel algorithm on a reconfigurable mesh of size N×N for k nearest neighbor search in a planar point set S of N points is presented The time complexity of this algorithm is O(k) It attains the lower bound of this problem
下载: