基于并行贪心最优优先搜索的改进板凳过渡系统探索

Takumi Shimoda, A. Fukunaga
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引用次数: 0

摘要

虽然对A*的并行化理解得相当好,但对GBFS的并行化却知之甚少。最近的研究提出了PUHF,这是一种并行的GBFS,它将搜索限制在对Bench过渡系统(BTS)的探索中,BTS是在某些平局策略下GBFS可以扩展的状态集。然而,PUHF导致线程花费大量时间等待,因此只有保证在BTS中的状态才会被扩展。我们提出对PUHF的改进,可以显著减少空闲时间,并允许更快地探索BTS,从而获得更好的搜索性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Exploration of the Bench Transition System in Parallel Greedy Best First Search
While parallelization of A* is fairly well-understood, parallelization of GBFS has been much less understood. Recent work has proposed PUHF, a parallel GBFS which restricts search to exploration of the Bench Transition System (BTS), which is the set of states that can be expanded by GBFS under some tie-breaking policy. However, PUHF causes threads to spend much of the time waiting so that only states which are guaranteed to be in the BTS are expanded. We propose improvements to PUHF which significantly reduce idle time and allow more rapid exploration of the BTS, resulting in better search performance.
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