Edge Partitioning in Parallel Structured Duplicate Detection

Heuristic-search planners that use A* and related graph Parallel structured duplicate detection (PSDD) (Zhou and search algorithms must be parallelized to harness advances Hansen 2007a) is an extension of SDD that leverages the in computing power that are based on increasing use of same local structure to reduce the amount of synchronization multi-core processors. Although a graph can always be converted needed in parallel search. PSDD assigns idle processors to an equivalent tree that can be easily searched in nblocks to expand whose duplicate detection scopes are parallel, such a conversion increases the size of the search pairwise disjoint, since they can be searched in parallel without space exponentially, and the resulting overhead is hard to any synchronization. Note that two duplicate-detection justify in the context of parallel search for which the speedup scopes are disjoint if they do not share any nblocks.