{"title":"基于simd的软错误检测","authors":"Zhi Chen, A. Nicolau, A. Veidenbaum","doi":"10.1145/2903150.2903170","DOIUrl":null,"url":null,"abstract":"Soft error rates in processors have been increasing with decreasing feature size and larger chips. Software-only solutions have been proposed to deal with this problem, for instance via instruction duplication. However, this leads to significant overheads in performance and energy. This paper proposes a novel approach to instruction duplication, which exploits the redundancy within SIMD instructions. The proposed solution is implemented in the LLVM compiler. Execution of a set of compiled C/C++ benchmarks shows that the SIMD based instruction duplication introduces a 32% performance and an 25% energy overheads, respectively, over the baseline. The performance and energy overheads of the state-of-the-art scalar instruction duplication approach are, on average, 111% and 114%, repsectively.","PeriodicalId":226569,"journal":{"name":"Proceedings of the ACM International Conference on Computing Frontiers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"SIMD-based soft error detection\",\"authors\":\"Zhi Chen, A. Nicolau, A. Veidenbaum\",\"doi\":\"10.1145/2903150.2903170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soft error rates in processors have been increasing with decreasing feature size and larger chips. Software-only solutions have been proposed to deal with this problem, for instance via instruction duplication. However, this leads to significant overheads in performance and energy. This paper proposes a novel approach to instruction duplication, which exploits the redundancy within SIMD instructions. The proposed solution is implemented in the LLVM compiler. Execution of a set of compiled C/C++ benchmarks shows that the SIMD based instruction duplication introduces a 32% performance and an 25% energy overheads, respectively, over the baseline. The performance and energy overheads of the state-of-the-art scalar instruction duplication approach are, on average, 111% and 114%, repsectively.\",\"PeriodicalId\":226569,\"journal\":{\"name\":\"Proceedings of the ACM International Conference on Computing Frontiers\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM International Conference on Computing Frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2903150.2903170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2903150.2903170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Soft error rates in processors have been increasing with decreasing feature size and larger chips. Software-only solutions have been proposed to deal with this problem, for instance via instruction duplication. However, this leads to significant overheads in performance and energy. This paper proposes a novel approach to instruction duplication, which exploits the redundancy within SIMD instructions. The proposed solution is implemented in the LLVM compiler. Execution of a set of compiled C/C++ benchmarks shows that the SIMD based instruction duplication introduces a 32% performance and an 25% energy overheads, respectively, over the baseline. The performance and energy overheads of the state-of-the-art scalar instruction duplication approach are, on average, 111% and 114%, repsectively.