{"title":"An empirical model for accurate estimation of routing delay in FPGAs","authors":"T. Karnik, S. Kang","doi":"10.1109/ICCAD.1995.480136","DOIUrl":null,"url":null,"abstract":"We present an empirical routing delay model for estimating interconnection delays in FPGAs. We assume that the routing delay is a function of interPLC distances, circuit size, fanout of the net and routing congestion in the channel. We performed extensive simulations of various circuits to generate a sufficiently large dataset. Our method estimates delays by reading the average value tables and interpolating the values, if necessary. We present a rigorous statistical justification of this delay model. Our results show that our method predicts the delays within 20% of actual and it far outperforms all other existing techniques.","PeriodicalId":367501,"journal":{"name":"Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1995.480136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
We present an empirical routing delay model for estimating interconnection delays in FPGAs. We assume that the routing delay is a function of interPLC distances, circuit size, fanout of the net and routing congestion in the channel. We performed extensive simulations of various circuits to generate a sufficiently large dataset. Our method estimates delays by reading the average value tables and interpolating the values, if necessary. We present a rigorous statistical justification of this delay model. Our results show that our method predicts the delays within 20% of actual and it far outperforms all other existing techniques.