{"title":"Functional decomposition through structural analysis of decision diagrams-the binary and multiple-valued cases","authors":"L. Macchiarulo, P. Civera","doi":"10.1109/ICVD.1999.745151","DOIUrl":null,"url":null,"abstract":"The problem of disjoint functional decomposition is both an important and difficult task for theoretical reasons and synthesis purposes. The use of efficient representation techniques (decision diagrams) permits a novel approach, which surpasses the preceding ones by identifying graph-structures rather than algebraic relations. In this paper we present a demonstration of a new fact about functional decomposition, and a necessary and sufficient criterion to identify feasible decompositions of a generic function. We implemented and validated the algorithm integrating it in a decision diagram package.","PeriodicalId":443373,"journal":{"name":"Proceedings Twelfth International Conference on VLSI Design. (Cat. No.PR00013)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Twelfth International Conference on VLSI Design. (Cat. No.PR00013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVD.1999.745151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The problem of disjoint functional decomposition is both an important and difficult task for theoretical reasons and synthesis purposes. The use of efficient representation techniques (decision diagrams) permits a novel approach, which surpasses the preceding ones by identifying graph-structures rather than algebraic relations. In this paper we present a demonstration of a new fact about functional decomposition, and a necessary and sufficient criterion to identify feasible decompositions of a generic function. We implemented and validated the algorithm integrating it in a decision diagram package.