Parallel variational iterative linear solvers

In this work we consider parallel variational algorithms for solution of linear systems. Theoretical analysis explains the superlinear convergence rate for two step gradient descent method. A new modification of the algorithm is proposed. Results of computational experiments are given for a lin...

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Bibliographic Details
Main Authors: Raimondas Čiegis, Remigijus Čiegis, Alexander Jakušev, Gailė Šaltenienė
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2007-03-01
Series:Mathematical Modelling and Analysis
Subjects:
Online Access:https://journals.vgtu.lt/index.php/MMA/article/view/7088
Description
Summary:In this work we consider parallel variational algorithms for solution of linear systems. Theoretical analysis explains the superlinear convergence rate for two step gradient descent method. A new modification of the algorithm is proposed. Results of computational experiments are given for a linear system of equations approximating 3D elliptic boundary value problem. All algorithms are implemented using parallel array object tool ParSol, then a parallel algorithm follows semi‐automatically from the serial one. Results of the scalability analysis are presented and the efficiency of the presented parallel algorithm is investigated experimentally. First Published Online: 14 Oct 2010
ISSN:1392-6292
1648-3510