{"title":"大规模并行计算机上的波形Krylov子空间方法","authors":"W. Luk, O. Wing","doi":"10.1142/S0129053397000076","DOIUrl":null,"url":null,"abstract":"Recently, the waveform generalized minimal residual method (WGMRES) was proposed for solving differential-algebraic equations problems. Based on this, several waveform Krylov subspace methods are developed for comparison. Particularly, we propose using an adjoint operator for the waveform bi-conjugate gradient method and the waveform quasi-minimal residual method. The difficulties of developing the adjoint operator will be addressed. Furthermore, these methods are applied to solve a large sparse linear system of ordinary differential equations arising from a parabolic partial differential equation on a DECmpp 12000/Sx parallel computer for comparison. Numerical results show that the WGMRES method and the waveform bi-conjugate gradient stabilized method can achieve better performance than the conventional waveform relaxation methods.","PeriodicalId":270006,"journal":{"name":"Int. J. High Speed Comput.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Waveform Krylov Subspace Methods on a Massively Parallel Computer\",\"authors\":\"W. Luk, O. Wing\",\"doi\":\"10.1142/S0129053397000076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, the waveform generalized minimal residual method (WGMRES) was proposed for solving differential-algebraic equations problems. Based on this, several waveform Krylov subspace methods are developed for comparison. Particularly, we propose using an adjoint operator for the waveform bi-conjugate gradient method and the waveform quasi-minimal residual method. The difficulties of developing the adjoint operator will be addressed. Furthermore, these methods are applied to solve a large sparse linear system of ordinary differential equations arising from a parabolic partial differential equation on a DECmpp 12000/Sx parallel computer for comparison. Numerical results show that the WGMRES method and the waveform bi-conjugate gradient stabilized method can achieve better performance than the conventional waveform relaxation methods.\",\"PeriodicalId\":270006,\"journal\":{\"name\":\"Int. J. High Speed Comput.\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. High Speed Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0129053397000076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. High Speed Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0129053397000076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Waveform Krylov Subspace Methods on a Massively Parallel Computer
Recently, the waveform generalized minimal residual method (WGMRES) was proposed for solving differential-algebraic equations problems. Based on this, several waveform Krylov subspace methods are developed for comparison. Particularly, we propose using an adjoint operator for the waveform bi-conjugate gradient method and the waveform quasi-minimal residual method. The difficulties of developing the adjoint operator will be addressed. Furthermore, these methods are applied to solve a large sparse linear system of ordinary differential equations arising from a parabolic partial differential equation on a DECmpp 12000/Sx parallel computer for comparison. Numerical results show that the WGMRES method and the waveform bi-conjugate gradient stabilized method can achieve better performance than the conventional waveform relaxation methods.