{"title":"Experiences of parallel processing with direct cover algorithms for multiple-valued logic minimization","authors":"Chyan Yang, Onur Oral","doi":"10.1109/ISMVL.1992.186780","DOIUrl":null,"url":null,"abstract":"The implementation of the direct cover algorithm, a heuristic, on a real parallel computer system, Intel iPSC/2, is reported. A CAD tool, HAMLET, that is based on direct cover algorithms has been ported to iPSC/2. Parallel neighborhood decoupling (PND), a parallel version of ND that runs faster than ND, is used, as well as another parallel implementation of ND, multibranch ND (Multi-ND), which allows each processor to search one path of the search tree until the number of processors is exhausted. Searching in multiple branches guarantees a higher probability of reaching an exact solution. In addition, Multi-ND uses less communication than PND, since once a process is assigned a task it will remain isolated from the host until there is a need to report its solution. The results show that Multi-ND outperforms PND in both optimality and speed.<<ETX>>","PeriodicalId":127091,"journal":{"name":"[1992] Proceedings The Twenty-Second International Symposium on Multiple-Valued Logic","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings The Twenty-Second International Symposium on Multiple-Valued Logic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1992.186780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The implementation of the direct cover algorithm, a heuristic, on a real parallel computer system, Intel iPSC/2, is reported. A CAD tool, HAMLET, that is based on direct cover algorithms has been ported to iPSC/2. Parallel neighborhood decoupling (PND), a parallel version of ND that runs faster than ND, is used, as well as another parallel implementation of ND, multibranch ND (Multi-ND), which allows each processor to search one path of the search tree until the number of processors is exhausted. Searching in multiple branches guarantees a higher probability of reaching an exact solution. In addition, Multi-ND uses less communication than PND, since once a process is assigned a task it will remain isolated from the host until there is a need to report its solution. The results show that Multi-ND outperforms PND in both optimality and speed.<>