2010Unpublished venueRequires access

The Construction of Parallel Preconditioner in Preconditioned Conjugate Gradient Method

Xifa Duan, LV Quan-yi

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Abstract

In this paper, we study the problem of solving the band linear systems on distributed memory multi-computer, and emphasis on the research of preconditioned conjugate gradient method. By reconstructing the preconditioner of traditional preconditioned conjugate gradient method, We gain the preconditioner suiting for parallel computation. The efficiency of Conjugate Gradient Method is improved while preserving the parallelism. Moreover, three examples have been implemented on Linux Networx cluster, and the numerical experiments indicate that our algorithm is feasible and effective.

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What this paper is about

In this paper, we study the problem of solving the band linear systems on distributed memory multi-computer, and emphasis on the research of preconditioned conjugate gradient method. By reconstructing the preconditioner of traditional preconditioned conjugate gradient method, We gain the preconditioner suiting for parallel computation. The efficiency of Conjugate Gradient Method is improved while preserving the parallelism. Moreover, three examples have been implemented on Linux Networx cluster, and the numerical experiments indicate that our algorithm is feasible and effective.

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Available abstract

In this paper, we study the problem of solving the band linear systems on distributed memory multi-computer, and emphasis on the research of preconditioned conjugate gradient method. By reconstructing the preconditioner of traditional preconditioned conjugate gradient method, We gain the preconditioner suiting for parallel computation. The efficiency of Conjugate Gradient Method is improved while preserving the parallelism. Moreover, three examples have been implemented on Linux Networx cluster, and the numerical experiments indicate that our algorithm is feasible and effective.

Key concepts: Preconditioner, Conjugate gradient method, Conjugate residual method, Derivation of the conjugate gradient method, Computer science, Conjugate, Computation, Nonlinear conjugate gradient method

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