Algorithm for sparse approximate inverse preconditioners in the conjugate gradient method


статья в журнале
Авторы: Labutin I.B.   (ИНГГ СО РАН)   Surodina I.V.   (ИНГГ СО РАН)  
дата публикации: 2013
реферат:
We propose a method for preconditioner construction and parallel im- plementations of the Preconditioned Conjugate Gradient algorithm on GPU platforms. The preconditioning matrix is an approximate inverse derived from an algorithm for the iterative improvement of a solution to linear equations. Using a sparse matrix-vector product, our precondi- tioner is well suited for massively parallel GPU architecture. We present numerical experiments and comparisons with CPU implementations
первоисточник: Reliable Computing
том: 1
страницы: 120-126
ISBN:
ISSN:
внешние ссылки:
РИНЦ SPIN  
Scopus  

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полный текст статьи

relc-2013-19-1-120