{"title":"An Expert System Application in Semicustom VLSI Design","authors":"R. Steele","doi":"10.1145/37888.37997","DOIUrl":null,"url":null,"abstract":"This paper describes the implementation of a prototype expert system that provides standard cell design advice in the areas of performance, manufacturability, testability, and overall design quality, from a netlist description of an application specific integrated circuit (ASIC) design. The system is currently being developed on a Symbolics Lisp Machine using a hybrid AI programming language, called Proteus. The language integrates both known and novel AI programming techniques into a robust vehicle for the implementation of knowledge-based systems. Knowledge representation schemes, inference mechanisms, and knowledge acquisition techniques will be presented, including representative examples from within the knowledge base.","PeriodicalId":301552,"journal":{"name":"24th ACM/IEEE Design Automation Conference","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"24th ACM/IEEE Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/37888.37997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper describes the implementation of a prototype expert system that provides standard cell design advice in the areas of performance, manufacturability, testability, and overall design quality, from a netlist description of an application specific integrated circuit (ASIC) design. The system is currently being developed on a Symbolics Lisp Machine using a hybrid AI programming language, called Proteus. The language integrates both known and novel AI programming techniques into a robust vehicle for the implementation of knowledge-based systems. Knowledge representation schemes, inference mechanisms, and knowledge acquisition techniques will be presented, including representative examples from within the knowledge base.