S. Carlo, P. Prinetto, Daniele Rolfo, Pascal Trotta
{"title":"A fault injection methodology and infrastructure for fast single event upsets emulation on Xilinx SRAM-based FPGAs","authors":"S. Carlo, P. Prinetto, Daniele Rolfo, Pascal Trotta","doi":"10.1109/DFT.2014.6962073","DOIUrl":null,"url":null,"abstract":"Modern SRAM-based Field Programmable Gate Arrays (FPGAs) are increasingly employed in safety- and mission-critical applications. However, the aggressive technology scaling is highlighting the increasing sensitivity of such devices to Single Event Upsets (SEUs) caused by external radiation events. Assessing the reliability of FPGA-based systems in the early design stages is of upmost importance, allowing design exploration of different protection alternatives. This paper presents a Dynamic Partial Reconfiguration-based fault injection methodology implemented by an integrated infrastructure for SEUs emulation in the configuration memory of Xilinx SRAM-based FPGAs. The proposed methodology exploits the Xilinx Essential Bits technology to extremely speed-up fault injection, ensuring correct operations of the fault injection infrastructure during the whole injection process.","PeriodicalId":414665,"journal":{"name":"2014 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFT.2014.6962073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
Modern SRAM-based Field Programmable Gate Arrays (FPGAs) are increasingly employed in safety- and mission-critical applications. However, the aggressive technology scaling is highlighting the increasing sensitivity of such devices to Single Event Upsets (SEUs) caused by external radiation events. Assessing the reliability of FPGA-based systems in the early design stages is of upmost importance, allowing design exploration of different protection alternatives. This paper presents a Dynamic Partial Reconfiguration-based fault injection methodology implemented by an integrated infrastructure for SEUs emulation in the configuration memory of Xilinx SRAM-based FPGAs. The proposed methodology exploits the Xilinx Essential Bits technology to extremely speed-up fault injection, ensuring correct operations of the fault injection infrastructure during the whole injection process.