{"title":"A heuristic technique for system-level architecture generation from signal-flow graph representations of analog systems","authors":"A. Doboli, N. Dhanwada, R. Vemuri","doi":"10.1109/ISCAS.2000.856026","DOIUrl":null,"url":null,"abstract":"This paper presents a heuristic technique for automatically generating different architectures for an analog system. The AG iteratively produces various system net-lists as distinct implementations can realize the signal processing and flow in a system. Area and power for resulting net-lists are rapidly evaluated with High-Level Performance Estimator (HPE), a simplified estimation module. The AG algorithm is simple to implement. It does not require an extensive pattern library as traditional AG techniques do.","PeriodicalId":6422,"journal":{"name":"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)","volume":"76 1","pages":"181-184 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2000.856026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a heuristic technique for automatically generating different architectures for an analog system. The AG iteratively produces various system net-lists as distinct implementations can realize the signal processing and flow in a system. Area and power for resulting net-lists are rapidly evaluated with High-Level Performance Estimator (HPE), a simplified estimation module. The AG algorithm is simple to implement. It does not require an extensive pattern library as traditional AG techniques do.