{"title":"SICTA: A superimposed in-circuit fault tolerant architecture for SRAM-based FPGAs","authors":"Alexandra Kourfali, Amit Kulkarni, D. Stroobandt","doi":"10.1109/IOLTS.2017.8046168","DOIUrl":null,"url":null,"abstract":"Reassuring fault tolerance in computing systems that contain FPGA devices is the most important problem for mission critical space components. With the rise in interest of commercial SRAM-based FPGAs, it is crucial to provide runtime reconfigurable recovery from a failure. In this paper, we propose a superimposed virtual coarse-grained reconfigurable architecture, embedded with on-demand three level fault-mitigation technique. The proposed method performs run-time recovery via discrete microscrubbing. This approach can provide up to 3× faster runtime recovery with 10.2× less resources in FPGA devices, by providing integrated layers of fault mitigation.","PeriodicalId":233462,"journal":{"name":"2017 IEEE 23rd International Symposium on On-Line Testing and Robust System Design (IOLTS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 23rd International Symposium on On-Line Testing and Robust System Design (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2017.8046168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Reassuring fault tolerance in computing systems that contain FPGA devices is the most important problem for mission critical space components. With the rise in interest of commercial SRAM-based FPGAs, it is crucial to provide runtime reconfigurable recovery from a failure. In this paper, we propose a superimposed virtual coarse-grained reconfigurable architecture, embedded with on-demand three level fault-mitigation technique. The proposed method performs run-time recovery via discrete microscrubbing. This approach can provide up to 3× faster runtime recovery with 10.2× less resources in FPGA devices, by providing integrated layers of fault mitigation.