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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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
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spelling doaj-b8e9664d4b6d4160abedf4336cd934fa2021-07-02T16:49:24ZengVilnius Gediminas Technical UniversityMathematical Modelling and Analysis1392-62921648-35102007-03-0112110.3846/1392-6292.2007.12.1-16Parallel variational iterative linear solversRaimondas Čiegis0Remigijus Čiegis1Alexander Jakušev2Gailė Šaltenienė3Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, LithuaniaVilnius Unicersity, Kaunas Faculty of Humanities, Mintės st. 8, LT-44280, Kaunas, LithuaniaVilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, LithuaniaVilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania 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 https://journals.vgtu.lt/index.php/MMA/article/view/7088variational iterative methodsparallel algorithmslinear algebra problemssoftware tools
collection DOAJ
language English
format Article
sources DOAJ
author Raimondas Čiegis
Remigijus Čiegis
Alexander Jakušev
Gailė Šaltenienė
spellingShingle Raimondas Čiegis
Remigijus Čiegis
Alexander Jakušev
Gailė Šaltenienė
Parallel variational iterative linear solvers
Mathematical Modelling and Analysis
variational iterative methods
parallel algorithms
linear algebra problems
software tools
author_facet Raimondas Čiegis
Remigijus Čiegis
Alexander Jakušev
Gailė Šaltenienė
author_sort Raimondas Čiegis
title Parallel variational iterative linear solvers
title_short Parallel variational iterative linear solvers
title_full Parallel variational iterative linear solvers
title_fullStr Parallel variational iterative linear solvers
title_full_unstemmed Parallel variational iterative linear solvers
title_sort parallel variational iterative linear solvers
publisher Vilnius Gediminas Technical University
series Mathematical Modelling and Analysis
issn 1392-6292
1648-3510
publishDate 2007-03-01
description 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
topic variational iterative methods
parallel algorithms
linear algebra problems
software tools
url https://journals.vgtu.lt/index.php/MMA/article/view/7088
work_keys_str_mv AT raimondasciegis parallelvariationaliterativelinearsolvers
AT remigijusciegis parallelvariationaliterativelinearsolvers
AT alexanderjakusev parallelvariationaliterativelinearsolvers
AT gailesalteniene parallelvariationaliterativelinearsolvers
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