{"title":"A fast analytical approach for static power-down mode analysis","authors":"M. Zwerger, Pantelis R. Vlachas, H. Graeb","doi":"10.1109/ICECS.2015.7440234","DOIUrl":null,"url":null,"abstract":"In this paper, a new method for static analysis of the power-down mode of analog circuits is presented. Floating nodes are detected. The static node voltages are estimated. It can be verified that no current is flowing. The method is based on circuit structure. No numerical simulation is needed. The presented approach solves an integer constraint program. Experimental results show a speed-up of factor 2.5 compared a state-of-the-art voltage propagation algorithm. Furthermore, the presented analytical problem formulation enables fast implementation of the method using a constraint programming solver.","PeriodicalId":215448,"journal":{"name":"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2015.7440234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a new method for static analysis of the power-down mode of analog circuits is presented. Floating nodes are detected. The static node voltages are estimated. It can be verified that no current is flowing. The method is based on circuit structure. No numerical simulation is needed. The presented approach solves an integer constraint program. Experimental results show a speed-up of factor 2.5 compared a state-of-the-art voltage propagation algorithm. Furthermore, the presented analytical problem formulation enables fast implementation of the method using a constraint programming solver.