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Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric... In recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available cores, parallel computing becomes necessary. It increases speed by processing huge amount of data in real time. The purpose of this paper is to parallelize a set of well-known programs using different techniques to determine best way to parallelize a program experimented.Design/methodology/approachA set of numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool.FindingsThe work discovers that few of the algorithms are well suited in auto parallelization using Pluto tool but many of the algorithms execute more efficiently using OpenMP hand parallelization.Originality/valueThe work provides an original work on parallelization using OpenMP programming paradigm and Pluto tool. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Data Technologies and Applications Emerald Publishing

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

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References (33)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2514-9288
DOI
10.1108/dta-05-2018-0040
Publisher site
See Article on Publisher Site

Abstract

In recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available cores, parallel computing becomes necessary. It increases speed by processing huge amount of data in real time. The purpose of this paper is to parallelize a set of well-known programs using different techniques to determine best way to parallelize a program experimented.Design/methodology/approachA set of numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool.FindingsThe work discovers that few of the algorithms are well suited in auto parallelization using Pluto tool but many of the algorithms execute more efficiently using OpenMP hand parallelization.Originality/valueThe work provides an original work on parallelization using OpenMP programming paradigm and Pluto tool.

Journal

Data Technologies and ApplicationsEmerald Publishing

Published: Apr 3, 2019

Keywords: Algorithms; OpenMP; Auto parallelization; Code parallelization; Hand parallelization; Pluto

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