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BOUNDS ON BLOCK DIAGONAL PRECONDITIONING

 

作者: MARKYAN-MING CHANG,   MARTINH. SCHULTZ,  

 

期刊: Parallel Algorithms and Applications  (Taylor Available online 1993)
卷期: Volume 1, issue 2  

页码: 141-164

 

ISSN:1063-7192

 

年代: 1993

 

DOI:10.1080/10637199308915437

 

出版商: Taylor & Francis Group

 

关键词: Block diagonal PCG;condition number bound;parallel asymptotic time;optimal number of processors

 

数据来源: Taylor

 

摘要:

We consider the preconditioned conjugate gradient (PCG) method for solving the linear equations derived from difference approximations to the Laplace operator on 1D line, 2D square or 3D cube domains. If the preconditioner is a block diagonal matrix obtained from cutting the original domain by lines or planes, we can End an upper bound for the condition number of the preconditioned system. For several different parallel machine models, we derive the optimal number of processors to achieve the best asymptotic run time.

 

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