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PARALLEL ALGORITHMS FOR PRIORITY QUEUE OPERATIONS

机译:优先队列操作的并行算法

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This paper presents parallel algorithms for priority queue operations on a p-processor EREW-PRAM. The algorithms are based on a new data structure, the Min-path Heap (MH), which is obtained as an extension of the traditional binary-heap organization. Using an MH, it is shown that insertion of a new item or deletion of the smallest item from a priority queue of n elements can be performed in O(logn/p + log logn) parallel time, while construction of an MH from a set of n items takes O(n/p + logn) time. The given algorithms for insertion and deletion achieve the best possible running time for any number of processors p, with p is an element of O(logn/(log logn)), while the MH construction algorithm employs up to theta(n/logn) processors optimally. The paper ends with a brief discussion of the applicability of MH's to the development of efficient parallel algorithms for some important combinatorial problems. [References: 9]
机译:本文提出了用于p处理器EREW-PRAM上优先级队列操作的并行算法。这些算法基于新的数据结构,最小路径堆(MH),它是对传统二进制堆组织的扩展而获得的。使用MH显示,可以在O(logn / p + log logn)并行时间内执行从n个元素的优先级队列中插入新项或删除最小项的操作,同时从集合中构造MH的n项需要O(n / p + logn)时间。给定的插入和删除算法为任何数量的处理器p实现了最佳的运行时间,其中p是O(logn /(log logn))的元素,而MH构造算法最多使用theta(n / logn)最佳处理器。本文最后简要讨论了MH在一些重要的组合问题上对开发有效的并行算法的适用性。 [参考:9]

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