{"title":"利用数据压缩减少缓存的软错误漏洞","authors":"Sparsh Mittal, J. Vetter","doi":"10.1145/2902961.2902977","DOIUrl":null,"url":null,"abstract":"With ongoing chip miniaturization and voltage scaling, particle strike-induced soft errors present increasingly severe threat to the reliability of on-chip caches. In this paper, we present a technique to reduce the vulnerability of caches to soft-errors. Our technique uses data compression to reduce the number of vulnerable data bits in the cache and performs selective duplication of more critical data-bits to provide extra protection to them. Microarchitectural simulations have shown that our technique is effective in reducing cache vulnerability and outperforms another technique. For single and dual-core system configuration, the average reduction in cache vulnerability is 5.59× and 8.44×, respectively. Also, the implementation and performance overheads of our technique are minimal and it is useful for a broad range of workloads.","PeriodicalId":407054,"journal":{"name":"2016 International Great Lakes Symposium on VLSI (GLSVLSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Reducing soft-error vulnerability of caches using data compression\",\"authors\":\"Sparsh Mittal, J. Vetter\",\"doi\":\"10.1145/2902961.2902977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With ongoing chip miniaturization and voltage scaling, particle strike-induced soft errors present increasingly severe threat to the reliability of on-chip caches. In this paper, we present a technique to reduce the vulnerability of caches to soft-errors. Our technique uses data compression to reduce the number of vulnerable data bits in the cache and performs selective duplication of more critical data-bits to provide extra protection to them. Microarchitectural simulations have shown that our technique is effective in reducing cache vulnerability and outperforms another technique. For single and dual-core system configuration, the average reduction in cache vulnerability is 5.59× and 8.44×, respectively. Also, the implementation and performance overheads of our technique are minimal and it is useful for a broad range of workloads.\",\"PeriodicalId\":407054,\"journal\":{\"name\":\"2016 International Great Lakes Symposium on VLSI (GLSVLSI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Great Lakes Symposium on VLSI (GLSVLSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2902961.2902977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Great Lakes Symposium on VLSI (GLSVLSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2902961.2902977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reducing soft-error vulnerability of caches using data compression
With ongoing chip miniaturization and voltage scaling, particle strike-induced soft errors present increasingly severe threat to the reliability of on-chip caches. In this paper, we present a technique to reduce the vulnerability of caches to soft-errors. Our technique uses data compression to reduce the number of vulnerable data bits in the cache and performs selective duplication of more critical data-bits to provide extra protection to them. Microarchitectural simulations have shown that our technique is effective in reducing cache vulnerability and outperforms another technique. For single and dual-core system configuration, the average reduction in cache vulnerability is 5.59× and 8.44×, respectively. Also, the implementation and performance overheads of our technique are minimal and it is useful for a broad range of workloads.