Parallel Gaussian Elimination Method

The aim of the project is to develop parallel approaches for Gaussian Elimination Methods that are used in linear programming  to solve linear module  systems.             Most of these models are time-consuming when executed and processed in the sequential microprocessor computers. During the proje...

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Main Author: Muhammad Muhammad Ali
Format: Article
Language:English
Published: Mosul University 2008-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163986_2f7b2bf220482210dfb41d7a3ca6e4d9.pdf
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author Muhammad Muhammad Ali
author_facet Muhammad Muhammad Ali
author_sort Muhammad Muhammad Ali
collection DOAJ
description The aim of the project is to develop parallel approaches for Gaussian Elimination Methods that are used in linear programming  to solve linear module  systems.             Most of these models are time-consuming when executed and processed in the sequential microprocessor computers. During the project, we try to decrease this time and increase the efficiency of the algorithm for the Gaussian Elimination Method, through developing parallel methods appropriate to be executed on MIMD type computers.             In this paper, three algorithms were suggested for paralleling a developed algorithm of Gaussian Elimination Method and a comparison was made between the three algorithms and the original.             As we have been able to accelerate the three parallel methods and the speedup was one of the following:           Speedup =  ,  no. of processor is (50)             In general, the practical results and the suggested programs for these new algorithms proved to be better in performance than their analogues that are executed in computers of sequential processor in view of the two elements of execution time and algorithm time.
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spelling doaj-art-ad86ec5864d94a3694a4398b31057a672025-08-20T01:50:57ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902008-12-0152597710.33899/csmj.2008.163986163986Parallel Gaussian Elimination MethodMuhammad Muhammad Ali0College of Education for Girls University of Mosul, IraqThe aim of the project is to develop parallel approaches for Gaussian Elimination Methods that are used in linear programming  to solve linear module  systems.             Most of these models are time-consuming when executed and processed in the sequential microprocessor computers. During the project, we try to decrease this time and increase the efficiency of the algorithm for the Gaussian Elimination Method, through developing parallel methods appropriate to be executed on MIMD type computers.             In this paper, three algorithms were suggested for paralleling a developed algorithm of Gaussian Elimination Method and a comparison was made between the three algorithms and the original.             As we have been able to accelerate the three parallel methods and the speedup was one of the following:           Speedup =  ,  no. of processor is (50)             In general, the practical results and the suggested programs for these new algorithms proved to be better in performance than their analogues that are executed in computers of sequential processor in view of the two elements of execution time and algorithm time.https://csmj.mosuljournals.com/article_163986_2f7b2bf220482210dfb41d7a3ca6e4d9.pdflinear programminggaussian elimination method
spellingShingle Muhammad Muhammad Ali
Parallel Gaussian Elimination Method
Al-Rafidain Journal of Computer Sciences and Mathematics
linear programming
gaussian elimination method
title Parallel Gaussian Elimination Method
title_full Parallel Gaussian Elimination Method
title_fullStr Parallel Gaussian Elimination Method
title_full_unstemmed Parallel Gaussian Elimination Method
title_short Parallel Gaussian Elimination Method
title_sort parallel gaussian elimination method
topic linear programming
gaussian elimination method
url https://csmj.mosuljournals.com/article_163986_2f7b2bf220482210dfb41d7a3ca6e4d9.pdf
work_keys_str_mv AT muhammadmuhammadali parallelgaussianeliminationmethod