{"title":"贝叶斯网络中的并行抽样","authors":"V. Rego, A. Schulz","doi":"10.1109/TAI.1991.167077","DOIUrl":null,"url":null,"abstract":"An easily parallelized version of the Pearl sequential algorithm is presented, along with experimental results utilizing an Ncube/1, hypercube and a Sequent shared memory multiprocessor. Pearl's concurrent simulation algorithm is briefly reviewed, and three modifications to this algorithm are proposed. These modifications, known as stack, phase, and parallel simulations, show considerable speedup in experiments performed on the hypercube.<<ETX>>","PeriodicalId":371778,"journal":{"name":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parallel sampling in Bayesian networks\",\"authors\":\"V. Rego, A. Schulz\",\"doi\":\"10.1109/TAI.1991.167077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An easily parallelized version of the Pearl sequential algorithm is presented, along with experimental results utilizing an Ncube/1, hypercube and a Sequent shared memory multiprocessor. Pearl's concurrent simulation algorithm is briefly reviewed, and three modifications to this algorithm are proposed. These modifications, known as stack, phase, and parallel simulations, show considerable speedup in experiments performed on the hypercube.<<ETX>>\",\"PeriodicalId\":371778,\"journal\":{\"name\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1991.167077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1991.167077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An easily parallelized version of the Pearl sequential algorithm is presented, along with experimental results utilizing an Ncube/1, hypercube and a Sequent shared memory multiprocessor. Pearl's concurrent simulation algorithm is briefly reviewed, and three modifications to this algorithm are proposed. These modifications, known as stack, phase, and parallel simulations, show considerable speedup in experiments performed on the hypercube.<>
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