人工知能学会誌（1986～2013, Print ISSN:0912-8085）
整合ラベリング問題における併合解法の並列化について
キーワード:
consistent labeling,
constraint satisfaction,
combinatorial search,
parallel processing,
algorithms
1991 年 6 巻 1 号 p. 124-128
詳細
1991 年 6 巻 1 号 p. 124-128
This paper deals with the parallelization of algorithms to solve consistent labeling problems, abbreviated as CLPs, which are NP-complete combinatorial search problems of finding totally consistent combinations of local interpretations. After surveying a merge method for CLPs proposed by us before, we introduce two types of parallelization having different granularities of parallelism each other : the structure-level one and the merge-level one. The efficiency of each parallelization is evaluated by experiments run actually on a multi-processor computer. The merge-level parallelization is proved to be always very effective. However, the structure-level parallelization is not necessarily efficient, sometimes, even rather harmful to cause serious inefficiency of computational time. The reason is explained by using a concrete example.
