{"title":"An efficient OR-parallel processing scheme of PROLOG: hierarchical pincers attack search","authors":"M. Kai, H. Kasahara","doi":"10.1109/PACRIM.1991.160830","DOIUrl":null,"url":null,"abstract":"The authors describe a PROLOG OR-parallel processing scheme. An OR-tree representing an execution process of a PROLOG program, is searched from the right and left sides of each subtree in the whole tree by a plurality of processors. Each processor performs the depth-first search independently. The search allows coarse task granularity to be obtained, and reduces the frequency of the task assignment or the data transfers among the processors. Introducing a special pointer (selection pointer) which indicates a position of the processors in the OR-tree, minimizes the data transfer caused by each task assignment. The depth-first searches from both sides of subtrees extract the acceleration anomaly efficiently and reduce parallel processing time in some cases. The effectiveness of the scheme is demonstrated on a multiprocessor minisupercomputer Alliant FX/80.<<ETX>>","PeriodicalId":289986,"journal":{"name":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1991.160830","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The authors describe a PROLOG OR-parallel processing scheme. An OR-tree representing an execution process of a PROLOG program, is searched from the right and left sides of each subtree in the whole tree by a plurality of processors. Each processor performs the depth-first search independently. The search allows coarse task granularity to be obtained, and reduces the frequency of the task assignment or the data transfers among the processors. Introducing a special pointer (selection pointer) which indicates a position of the processors in the OR-tree, minimizes the data transfer caused by each task assignment. The depth-first searches from both sides of subtrees extract the acceleration anomaly efficiently and reduce parallel processing time in some cases. The effectiveness of the scheme is demonstrated on a multiprocessor minisupercomputer Alliant FX/80.<>