R. Ferreira, Anne-Marie Trullemans-Anckaert, José C. Costa, J. Monteiro
{"title":"Probabilistic bottom-up RTL power estimation","authors":"R. Ferreira, Anne-Marie Trullemans-Anckaert, José C. Costa, J. Monteiro","doi":"10.1109/ISQED.2000.838916","DOIUrl":null,"url":null,"abstract":"We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and combinational modules of different degrees of complexity. We propose a bottom-up approach to create a simplified high-level model of the block behavior for power estimation, which is described by a symbolic local polynomial. We use an efficient gate-level modeling based on the polynomial simulation method and ZBDDs. We present a set of experimental results that show a large improvement in performance and robustness when compared to previous approaches.","PeriodicalId":113766,"journal":{"name":"Proceedings IEEE 2000 First International Symposium on Quality Electronic Design (Cat. No. PR00525)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE 2000 First International Symposium on Quality Electronic Design (Cat. No. PR00525)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISQED.2000.838916","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
We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and combinational modules of different degrees of complexity. We propose a bottom-up approach to create a simplified high-level model of the block behavior for power estimation, which is described by a symbolic local polynomial. We use an efficient gate-level modeling based on the polynomial simulation method and ZBDDs. We present a set of experimental results that show a large improvement in performance and robustness when compared to previous approaches.