{"title":"Mapping abstract and concrete hardware models for design understanding","authors":"Tino Flenker, G. Fey","doi":"10.1109/DDECS.2017.7934569","DOIUrl":null,"url":null,"abstract":"Before a microchip's concrete implementation is available a very abstract model is created, e.g., on Electronic System Level (ESL) or even more abstract. To ensure a better design understanding, we propose an automated mapping from a given abstract model to an unfamiliar concrete implementation at Register Transfer Level (RTL). But how to map a variable from the abstract model to a variable from the concrete model? We address this problem by a simulation based approach. We instrument the abstract model to get traces for each variable in both models and propose four heuristics to evaluate which variable maps to a corresponding variable of the other model. Experiments on an Instruction Set Simulator (ISS) versus RTL processor show mappings which offer an insight into the RTL implementation.","PeriodicalId":330743,"journal":{"name":"2017 IEEE 20th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 20th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDECS.2017.7934569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Before a microchip's concrete implementation is available a very abstract model is created, e.g., on Electronic System Level (ESL) or even more abstract. To ensure a better design understanding, we propose an automated mapping from a given abstract model to an unfamiliar concrete implementation at Register Transfer Level (RTL). But how to map a variable from the abstract model to a variable from the concrete model? We address this problem by a simulation based approach. We instrument the abstract model to get traces for each variable in both models and propose four heuristics to evaluate which variable maps to a corresponding variable of the other model. Experiments on an Instruction Set Simulator (ISS) versus RTL processor show mappings which offer an insight into the RTL implementation.