Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.

The three-point fully implicit block methods are developed for solving large systems of ordinary differential equations using variable step size on a parallel shared memory computer. The methods calculate the numerical solution at three points simultaneously and are suitable for parallelization acro...

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Main Authors: Abdul Majid, Zanariah, Suleiman, Mohamed
Format: Article
Language:English
English
Published: Taylor & Francis 2010
Online Access:http://psasir.upm.edu.my/id/eprint/15124/
http://psasir.upm.edu.my/id/eprint/15124/
http://psasir.upm.edu.my/id/eprint/15124/1/Implementation%20of%20parallel%20three.pdf
id upm-15124
recordtype eprints
spelling upm-151242015-10-29T08:18:18Z http://psasir.upm.edu.my/id/eprint/15124/ Implementation of parallel three-point block codes for solving large systems of ordinary differential equations. Abdul Majid, Zanariah Suleiman, Mohamed The three-point fully implicit block methods are developed for solving large systems of ordinary differential equations using variable step size on a parallel shared memory computer. The methods calculate the numerical solution at three points simultaneously and are suitable for parallelization across the method. The methods are in a simple form as Adams Moulton method with the specific aim of gaining efficiency. For large problems, the parallel implementation produced a good speed-up with respect to the sequential timing and hence better efficiency for the methods developed. Taylor & Francis 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15124/1/Implementation%20of%20parallel%20three.pdf Abdul Majid, Zanariah and Suleiman, Mohamed (2010) Implementation of parallel three-point block codes for solving large systems of ordinary differential equations. International Journal of Computer Mathematics , 87 (6). pp. 1415-1429. ISSN 0020-7160 10.1080/00207160802380900 English
repository_type Digital Repository
institution_category Local University
institution Universiti Putra Malaysia
building UPM Institutional Repository
collection Online Access
language English
English
description The three-point fully implicit block methods are developed for solving large systems of ordinary differential equations using variable step size on a parallel shared memory computer. The methods calculate the numerical solution at three points simultaneously and are suitable for parallelization across the method. The methods are in a simple form as Adams Moulton method with the specific aim of gaining efficiency. For large problems, the parallel implementation produced a good speed-up with respect to the sequential timing and hence better efficiency for the methods developed.
format Article
author Abdul Majid, Zanariah
Suleiman, Mohamed
spellingShingle Abdul Majid, Zanariah
Suleiman, Mohamed
Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
author_facet Abdul Majid, Zanariah
Suleiman, Mohamed
author_sort Abdul Majid, Zanariah
title Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
title_short Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
title_full Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
title_fullStr Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
title_full_unstemmed Implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
title_sort implementation of parallel three-point block codes for solving large systems of ordinary differential equations.
publisher Taylor & Francis
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/15124/
http://psasir.upm.edu.my/id/eprint/15124/
http://psasir.upm.edu.my/id/eprint/15124/1/Implementation%20of%20parallel%20three.pdf
first_indexed 2018-09-07T13:34:46Z
last_indexed 2018-09-07T13:34:46Z
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