{"title":"Blitz:基于规则的大规模并行架构系统","authors":"K. Morgan","doi":"10.1145/63047.63091","DOIUrl":null,"url":null,"abstract":"The rule-based system has emerged as an important tool to developers of artificial intelligence programs. Because of the computational resources required to realize the MATCH-SELECT-EXECUTE cycle of rule-based systems, researchers have been trying to introduce parallelism into these systems for some time. We describe a new approach to parallel rule-based systems which exploits fine-grained hypercube hardware. The new algorithms for parallel rule matching and simultaneous execution of several rules at once are presented. Experimental results using a Connection Machine* implementation of BLITZ are presented.","PeriodicalId":299435,"journal":{"name":"Conference on Hypercube Concurrent Computers and Applications","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Blitz: a rule-based system for massively parallel architectures\",\"authors\":\"K. Morgan\",\"doi\":\"10.1145/63047.63091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rule-based system has emerged as an important tool to developers of artificial intelligence programs. Because of the computational resources required to realize the MATCH-SELECT-EXECUTE cycle of rule-based systems, researchers have been trying to introduce parallelism into these systems for some time. We describe a new approach to parallel rule-based systems which exploits fine-grained hypercube hardware. The new algorithms for parallel rule matching and simultaneous execution of several rules at once are presented. Experimental results using a Connection Machine* implementation of BLITZ are presented.\",\"PeriodicalId\":299435,\"journal\":{\"name\":\"Conference on Hypercube Concurrent Computers and Applications\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Hypercube Concurrent Computers and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/63047.63091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Hypercube Concurrent Computers and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/63047.63091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blitz: a rule-based system for massively parallel architectures
The rule-based system has emerged as an important tool to developers of artificial intelligence programs. Because of the computational resources required to realize the MATCH-SELECT-EXECUTE cycle of rule-based systems, researchers have been trying to introduce parallelism into these systems for some time. We describe a new approach to parallel rule-based systems which exploits fine-grained hypercube hardware. The new algorithms for parallel rule matching and simultaneous execution of several rules at once are presented. Experimental results using a Connection Machine* implementation of BLITZ are presented.
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