{"title":"System synthesis utilizing a layered functional model","authors":"I. Sander, A. Jantsch","doi":"10.1145/301177.301510","DOIUrl":null,"url":null,"abstract":"We propose a system synthesis method which bridges the gap between a highly abstract functional model and an efficient hardware or software implementation. The functional model is based on a formal semantics and the synchrony hypothesis. However, the use of skeletons in conjunction with a proper computational model structures the system description into three layers, the system layer, the skeleton layer, and the elementary layer. The synthesis process takes advantage of this structure and uses a different technique for each layer: (a) connection of components, and processes at the system layer; (b) template based generation of compound entities possibly containing state information, memory, and complex control at the skeleton layer; this layer also determines the communication and timing behaviour; (c) direct translation into combinatorial functions at the elementary layer. Thus, without compromising the formal properties of the abstract system model we provide an efficient synthesis method.","PeriodicalId":344739,"journal":{"name":"Proceedings of the Seventh International Workshop on Hardware/Software Codesign (CODES'99) (IEEE Cat. No.99TH8450)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh International Workshop on Hardware/Software Codesign (CODES'99) (IEEE Cat. No.99TH8450)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/301177.301510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
We propose a system synthesis method which bridges the gap between a highly abstract functional model and an efficient hardware or software implementation. The functional model is based on a formal semantics and the synchrony hypothesis. However, the use of skeletons in conjunction with a proper computational model structures the system description into three layers, the system layer, the skeleton layer, and the elementary layer. The synthesis process takes advantage of this structure and uses a different technique for each layer: (a) connection of components, and processes at the system layer; (b) template based generation of compound entities possibly containing state information, memory, and complex control at the skeleton layer; this layer also determines the communication and timing behaviour; (c) direct translation into combinatorial functions at the elementary layer. Thus, without compromising the formal properties of the abstract system model we provide an efficient synthesis method.