首页> 外文会议>Frontiers of Massively Parallel Computation, 1992., Fourth Symposium on the >Parallel algorithms for all maximal equally-spaced collinear sets and all maximal regular lattices
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Parallel algorithms for all maximal equally-spaced collinear sets and all maximal regular lattices

机译:所有最大等距共线集和所有最大规则格的并行算法

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The authors present parallel solutions to the AMESCS (all maximal equally-spaced collinear subset) and AMRSS (all maximal regularly-spaced subset) problems and show how their solutions to the latter generalize to the AMRSDLS (all maximal regularly-spaced D-dimensional lattice subsets) problem. Their algorithms differ significantly from the optimal sequential algorithms presented in A.B. Kahng and G. Robins (1991), which do not scale well to (massively) parallel machines. The optimality of the authors' Arbitrary CRCW PRAM (parallel random access machine) algorithms is open; however, the algorithms they present are within a logarithmic factor of optimal. Further, the algorithms are optimal for the mesh-connected computer.
机译:作者提出了AMESCS(所有最大等距共线子集)和AMRSS(所有最大有规则间隔子集)问题的并行解决方案,并展示了它们对后者的解决方案如何推广到AMRSDLS(所有最大有规则间隔的D维晶格)子集)问题。他们的算法与A.B中介绍的最佳顺序算法有很大的不同。 Kahng和G. Robins(1991),对(大规模)并行机的伸缩性不佳。作者的任意CRCW PRAM(并行随机存取机)算法的最优性是公开的;但是,它们给出的算法在最优对数因子之内。此外,该算法对于网格连接计算机是最佳的。

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