EREW PRAM上的并行堆操作:结果总结

Weixiong Zhang, R. Korf
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引用次数: 4

摘要

作者提出了在EREW PRAM上进行堆操作的并行算法。他们首先提出了一个并行堆构建算法,其中p个处理器在O(n/p+logp)时间内运行。最坏情况下需要3.625n/p+4log p的时间。当p= theta (n/logn)时,算法最优。然后,他们提出了一种并行删除堆根的方法。为了便于动态处理器分配,在准备步骤中使用O((n/logn)/sup 1-1/p/)个处理器在O(logp)时间内开发数据结构。通过使用p个处理器,实现了一个根删除操作序列,使得每个操作花费O((logn)/p+logp+loglog)时间。作者还提出了一种使用p个处理器的O((logn)/p+log p)时间最优的并行插入算法。当p= theta ((logn)/loglogn)时,两种算法都在O(loglogn)时间内运行。这些算法还可以扩展为一个并行算法,用于从堆中删除给定元素地址的元素
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel heap operations on EREW PRAM: summary of results
The authors present parallel algorithms for heap operations on an EREW PRAM. They first present a parallel heap construction algorithm with p processors running in O(n/p+logp) time. It takes 3.625n/p+4log p time in the worst case. The algorithm is optimal when p= theta (n/logn). They then propose a method to delete the root of a heap in parallel. To facilitate dynamic processor allocation, a data structure is developed in a preparatory step using O((n/logn)/sup 1-1/p/) processors in O(logp) time. A sequence of root deletion operations is realized such that each of these operations takes O((logn)/p+logp+loglogn) time using p processors. The authors also suggest an O((logn)/p+log p) time optimal parallel insert algorithm using p processors. When p= theta ((logn)/loglogn), both algorithms run in O(loglogn) time. The algorithms can also be extended to a parallel algorithm for deleting an element from a heap, given the address of the element.<>
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