{"title":"通过动态部分重构减少容错数据路径的开销","authors":"James J. Davis, P. Cheung","doi":"10.1109/FCCM.2014.36","DOIUrl":null,"url":null,"abstract":"As process scaling and transistor count inflation continue, silicon chips are becoming increasingly susceptible to faults. Although FPGAs are particularly vulnerable to these effects, their runtime reconfigurability offers unique opportunities for fault tolerance. This work presents an application combining algorithmic-level error detection with dynamic partial reconfiguration (DPR) to allow faults manifested within its datapath at runtime to be circumvented at low cost.","PeriodicalId":246162,"journal":{"name":"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reducing Overheads for Fault-Tolerant Datapaths with Dynamic Partial Reconfiguration\",\"authors\":\"James J. Davis, P. Cheung\",\"doi\":\"10.1109/FCCM.2014.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As process scaling and transistor count inflation continue, silicon chips are becoming increasingly susceptible to faults. Although FPGAs are particularly vulnerable to these effects, their runtime reconfigurability offers unique opportunities for fault tolerance. This work presents an application combining algorithmic-level error detection with dynamic partial reconfiguration (DPR) to allow faults manifested within its datapath at runtime to be circumvented at low cost.\",\"PeriodicalId\":246162,\"journal\":{\"name\":\"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCCM.2014.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2014.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reducing Overheads for Fault-Tolerant Datapaths with Dynamic Partial Reconfiguration
As process scaling and transistor count inflation continue, silicon chips are becoming increasingly susceptible to faults. Although FPGAs are particularly vulnerable to these effects, their runtime reconfigurability offers unique opportunities for fault tolerance. This work presents an application combining algorithmic-level error detection with dynamic partial reconfiguration (DPR) to allow faults manifested within its datapath at runtime to be circumvented at low cost.