{"title":"Method for diagnosing SoC HDL-code","authors":"V. Hahanov, S. A. Zaychenko, V. Varchenko","doi":"10.1109/EWDTS.2014.7027112","DOIUrl":null,"url":null,"abstract":"This article describes technology for diagnosis SoC HDL-models, based on Code-Flow Transaction Graph. Diagnosis method is focused to decrease the time of fault detection and memory for storage of diagnosis matrix by means of forming ternary relations between test, monitor, and functional component. The following problems are solved: creation of digital system model in the form of transaction graph and multi-tree of fault detection tables, as well as ternary matrices for activating functional components of the selected set of monitors by using test patterns; development of a method for analysis the activation matrix to detect the faulty blocks with given depth and synthesis logic functions for subsequent embedded hardware fault diagnosis.","PeriodicalId":272780,"journal":{"name":"Proceedings of IEEE East-West Design & Test Symposium (EWDTS 2014)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE East-West Design & Test Symposium (EWDTS 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EWDTS.2014.7027112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article describes technology for diagnosis SoC HDL-models, based on Code-Flow Transaction Graph. Diagnosis method is focused to decrease the time of fault detection and memory for storage of diagnosis matrix by means of forming ternary relations between test, monitor, and functional component. The following problems are solved: creation of digital system model in the form of transaction graph and multi-tree of fault detection tables, as well as ternary matrices for activating functional components of the selected set of monitors by using test patterns; development of a method for analysis the activation matrix to detect the faulty blocks with given depth and synthesis logic functions for subsequent embedded hardware fault diagnosis.