{"title":"在单元格上实现矩阵乘法b","authors":"W. Alvaro, J. Kurzak, J. Dongarra","doi":"10.1201/b10376-3","DOIUrl":null,"url":null,"abstract":"Dense matrix multiplication is one of the most common numerical operations , especially in the area of dense linear algebra, where it forms the core of many important algorithms, including solvers of linear systems of equations , least square problems, and singular and eigenvalue problems. The Cell B. E. excells in its capabilities to process compute-intensive workloads, like matrix multiplication, in single precision, through its powerful SIMD capabilities. This chapter disects implementations of two single precision matrix 3","PeriodicalId":411793,"journal":{"name":"Scientific Computing with Multicore and Accelerators","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementing Matrix Multiplication on the Cell B. E\",\"authors\":\"W. Alvaro, J. Kurzak, J. Dongarra\",\"doi\":\"10.1201/b10376-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dense matrix multiplication is one of the most common numerical operations , especially in the area of dense linear algebra, where it forms the core of many important algorithms, including solvers of linear systems of equations , least square problems, and singular and eigenvalue problems. The Cell B. E. excells in its capabilities to process compute-intensive workloads, like matrix multiplication, in single precision, through its powerful SIMD capabilities. This chapter disects implementations of two single precision matrix 3\",\"PeriodicalId\":411793,\"journal\":{\"name\":\"Scientific Computing with Multicore and Accelerators\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Computing with Multicore and Accelerators\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/b10376-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Computing with Multicore and Accelerators","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/b10376-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementing Matrix Multiplication on the Cell B. E
Dense matrix multiplication is one of the most common numerical operations , especially in the area of dense linear algebra, where it forms the core of many important algorithms, including solvers of linear systems of equations , least square problems, and singular and eigenvalue problems. The Cell B. E. excells in its capabilities to process compute-intensive workloads, like matrix multiplication, in single precision, through its powerful SIMD capabilities. This chapter disects implementations of two single precision matrix 3