{"title":"A distribution independent algorithm for the reduction to tridiagonal form using one-sided rotations","authors":"M. Hegland","doi":"10.1109/ICAPP.1995.472197","DOIUrl":null,"url":null,"abstract":"A scalable algorithm for the reduction to tridiagonal form of symmetric matrices is developed. It uses one-sided rotations instead of similarity transforms. This allows a data distribution independent implementation with low communication volume. Timings on the Fujitsu AP 1000 and VPP 500 show good performance.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A scalable algorithm for the reduction to tridiagonal form of symmetric matrices is developed. It uses one-sided rotations instead of similarity transforms. This allows a data distribution independent implementation with low communication volume. Timings on the Fujitsu AP 1000 and VPP 500 show good performance.<>
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