求解Hubbard模型多特征值的高性能LOBPCG方法:避免Neumann展开预条件的通信效率

{"title":"求解Hubbard模型多特征值的高性能LOBPCG方法:避免Neumann展开预条件的通信效率","authors":"S. Yamada, Toshiyuki Imamura, M. Machida","doi":"10.1007/978-3-319-69953-0_14","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":242889,"journal":{"name":"Asian Conference on Supercomputing Frontiers","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"High Performance LOBPCG Method for Solving Multiple Eigenvalues of Hubbard Model: Efficiency of Communication Avoiding Neumann Expansion Preconditioner\",\"authors\":\"S. Yamada, Toshiyuki Imamura, M. Machida\",\"doi\":\"10.1007/978-3-319-69953-0_14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":242889,\"journal\":{\"name\":\"Asian Conference on Supercomputing Frontiers\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Conference on Supercomputing Frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-319-69953-0_14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Conference on Supercomputing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-69953-0_14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}