{"title":"高效容错并行矩阵向量乘法","authors":"Zhen Gao, P. Reviriego, J. A. Maestro","doi":"10.1109/IOLTS.2016.7604665","DOIUrl":null,"url":null,"abstract":"Parallel matrix processing is a typical operation in many systems, and in particular matrix-vector multiplication is one of the most common operations in modern digital signal processing and digital communication systems. This paper proposes a fault tolerant design for parallel matrix-vector multiplications. The scheme combines ideas from Error Correction Codes with the self-checking capability of matrix-vector multiplication.","PeriodicalId":6580,"journal":{"name":"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)","volume":"9 1","pages":"25-26"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Efficient fault tolerant parallel matrix-vector multiplications\",\"authors\":\"Zhen Gao, P. Reviriego, J. A. Maestro\",\"doi\":\"10.1109/IOLTS.2016.7604665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parallel matrix processing is a typical operation in many systems, and in particular matrix-vector multiplication is one of the most common operations in modern digital signal processing and digital communication systems. This paper proposes a fault tolerant design for parallel matrix-vector multiplications. The scheme combines ideas from Error Correction Codes with the self-checking capability of matrix-vector multiplication.\",\"PeriodicalId\":6580,\"journal\":{\"name\":\"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)\",\"volume\":\"9 1\",\"pages\":\"25-26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IOLTS.2016.7604665\",\"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 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2016.7604665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel matrix processing is a typical operation in many systems, and in particular matrix-vector multiplication is one of the most common operations in modern digital signal processing and digital communication systems. This paper proposes a fault tolerant design for parallel matrix-vector multiplications. The scheme combines ideas from Error Correction Codes with the self-checking capability of matrix-vector multiplication.