{"title":"Design and performance measurements of an execution model for the parallel processing of Prolog programs","authors":"Dong Wang, Hiroaki Kobayashi, Tadao Nakamura","doi":"10.1109/ICAPP.1995.472252","DOIUrl":null,"url":null,"abstract":"This paper presents a hierarchical parallel execution model for Prolog programs, the execution model is based on Or-parallelism/And-parallelism as coarse-grain parallelism, and parallel unification as fine-grain parallelism. At the coarse-grain parallelism level we propose an extended And-Or tree. Consequently, the tree can exploit high degree of parallelism from Prolog programs. Exploiting parallelism of Prolog programs is based an the binding-arrays method for Or-parallelism and the restricted And-parallelism (RAP) method for And-parallelism. At the fine-grain parallelism level, parallel unification is performed. In general, the parallel unification consists of parallel argument matching and consistency checking. However, since the RAP method does not need consistency checking, consistency checking at the fine-grain parallelism level is also removed. The measurements of the parallelism degree of this model are also to be presented in this paper.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472252","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
This paper presents a hierarchical parallel execution model for Prolog programs, the execution model is based on Or-parallelism/And-parallelism as coarse-grain parallelism, and parallel unification as fine-grain parallelism. At the coarse-grain parallelism level we propose an extended And-Or tree. Consequently, the tree can exploit high degree of parallelism from Prolog programs. Exploiting parallelism of Prolog programs is based an the binding-arrays method for Or-parallelism and the restricted And-parallelism (RAP) method for And-parallelism. At the fine-grain parallelism level, parallel unification is performed. In general, the parallel unification consists of parallel argument matching and consistency checking. However, since the RAP method does not need consistency checking, consistency checking at the fine-grain parallelism level is also removed. The measurements of the parallelism degree of this model are also to be presented in this paper.<>
提出了一种Prolog程序的分层并行执行模型,该模型以or -并行/ and -并行为粗粒度并行,并行统一为细粒度并行。在粗粒度并行级,我们提出了一个扩展的And-Or树。因此,树可以利用Prolog程序的高度并行性。利用Prolog程序的并行性是基于or并行性的绑定数组方法和and并行性的限制and并行(RAP)方法。在细粒度并行级,执行并行统一。一般来说,并行统一包括并行参数匹配和一致性检查。但是,由于RAP方法不需要一致性检查,因此也去掉了细粒度并行级的一致性检查。本文还给出了该模型平行度的测量方法。