W. Mansour, R. Velazco, R. Ayoubi, H. Ziade, W. El Falou
{"title":"一种在高密度设计中执行SET故障注入的方法和自动化工具","authors":"W. Mansour, R. Velazco, R. Ayoubi, H. Ziade, W. El Falou","doi":"10.1109/ICM.2013.6734986","DOIUrl":null,"url":null,"abstract":"A fully automated fault-injection method is presented. It deals with transient faults resulting from the impact of energetic particles and it can be applied early at design phase, on any circuit for which the register transfer level model is available. Results issued from its application to an Artificial Neural Network benchmark application put in evidence the accuracy of the studied method to predict error rates due to transient faults generated by the radiation environment.","PeriodicalId":372346,"journal":{"name":"2013 25th International Conference on Microelectronics (ICM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A method and an automated tool to perform SET fault-injection on HDL-based designs\",\"authors\":\"W. Mansour, R. Velazco, R. Ayoubi, H. Ziade, W. El Falou\",\"doi\":\"10.1109/ICM.2013.6734986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fully automated fault-injection method is presented. It deals with transient faults resulting from the impact of energetic particles and it can be applied early at design phase, on any circuit for which the register transfer level model is available. Results issued from its application to an Artificial Neural Network benchmark application put in evidence the accuracy of the studied method to predict error rates due to transient faults generated by the radiation environment.\",\"PeriodicalId\":372346,\"journal\":{\"name\":\"2013 25th International Conference on Microelectronics (ICM)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 25th International Conference on Microelectronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM.2013.6734986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 25th International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2013.6734986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method and an automated tool to perform SET fault-injection on HDL-based designs
A fully automated fault-injection method is presented. It deals with transient faults resulting from the impact of energetic particles and it can be applied early at design phase, on any circuit for which the register transfer level model is available. Results issued from its application to an Artificial Neural Network benchmark application put in evidence the accuracy of the studied method to predict error rates due to transient faults generated by the radiation environment.