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Ultimate Parallel List Ranking?

机译:终极并行列表排名?

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摘要

Two improved list-ranking alogrithms are presented. The "peeling-off" algorithm leads to an optimal PRAM algorithm, but was designed with application on a real parallel machine in mind. It is simpler than earlier algorithms, and in a range of problem sizes, where previously several algorithms where required for the best performance, now this single algorithm suffces. If the problem size is much larger than the number of available processors, then the "sparse-ruling-sets" algorithm is even better. In previous versions this algorithm had very restricted practical application because of the large number of communication rounds it was performing. This weakness is overcome by adding two new ideas, each of which reduces the number of communication rounds by a factor of two.
机译:提出了两个改进的列表排名alogrithms。 “剥离”算法导致最佳的PRAM算法,但在考虑到真正的并联机器上的应用程序设计。它比早期的算法更简单,并且在一系列问题大小中,先前有几种算法,现在这种单一算法偏离了。如果问题大小远大于可用处理器的数量,则“稀疏裁定设置”算法甚至更好。在以前的版本中,由于执行的大量通信轮,该算法具有非常受限的实际应用。通过添加两个新思路来克服这种弱点,每个思路都将通信数量的数量减少了两倍。

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