首页> 外文会议>High-Performance Computing, 1997. Proceedings. Fourth International Conference on >An optimal parallel algorithm for the all-nearest-foreign-neighborsproblem in arbitrary dimensions
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An optimal parallel algorithm for the all-nearest-foreign-neighborsproblem in arbitrary dimensions

机译:所有近邻的最优并行算法任意尺寸的问题

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Given a set S of n points in RD, D⩾2. Eachpoint p∈S is assigned a color c(p) chosen from a fixed color set.The All-Nearest-Foreign-Neighbors Problem (ANFNP) is to find for eachpoint p∈S its nearest foreign neighbors, i.e. the set of all pointsin S/{p} that are closest to p among the points in S with a colordifferent from c(p). We introduce the Well Separated Color Decomposition(WSCD) which gives an optimal O(log n) parallel algorithm to solve theAMFNP, for fixed dimension D⩾2 and fixed Lt-metricdt, 1⩽t⩽∞. The WSCD is based upon the WellSeparated Pair Decomposition (Callahan et al., 1992). The ANFNP findsextensive applications in VLSI design and verification for twodimensions, and in traffic-control systems and Geographic InformationSystems for D>2 dimensions. To the best of our knowledge, this is theonly known optimal parallel algorithm for the ANFNP
机译:给定在 R d ,d⩾ 2中的n个点的设置s; 2。每个 点P∈s被分配了从固定颜色集中选择的彩色C(P)。 全外邻近邻居问题(ANFNP)是为每个问题找到 点P∈s最近的外国邻居,即所有要点的集合 在S / {P}中,最接近具有颜色的点数中的P 与c(p)不同。我们介绍了井分离的颜色分解 (WSCD),它给出了最佳O(log n)并行算法来解决 AMFNP,用于固定尺寸D⩾ 2和固定L T 纯正 d t ,1⩽ t⩽∞。 WSCD基于井 分离对分解(Callahan等,1992)。 ANFNP查找 VLSI设计和验证的广泛应用 尺寸,以及交通控制系统和地理信息 D> 2维度的系统。据我们所知,这是 仅为ANFNP已知的最佳并行算法

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