Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP

The MPPM numerical method parallelization by utilizing the OpenMP environment is reported in this paper. The objective of this work is to reduce the MPPM method computation time by exploiting the otherwise idle processors and overall improve the efficiency of the method. The code solving the Rayleig...

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Main Authors: Ibrahim A.M.E., Ng K.C., Yusoff M.Z.
Other Authors: 57194147189
Format: Article
Published: Asian Research Publishing Network 2023
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spelling my.uniten.dspace-232722023-05-29T14:38:59Z Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP Ibrahim A.M.E. Ng K.C. Yusoff M.Z. 57194147189 55310814500 7003976733 The MPPM numerical method parallelization by utilizing the OpenMP environment is reported in this paper. The objective of this work is to reduce the MPPM method computation time by exploiting the otherwise idle processors and overall improve the efficiency of the method. The code solving the Rayleigh-Taylor instability model was originally written using Fortran77 and is considerably slow and was rewritten in C language then parallelized using OpenMP directives. The highest obtained speedup value resulting from OpenMP parallelization is found to be 2.3 which is achieved through utilizing 6 threads out of the available 12 threads. The work presents the possible performance improvement and the importance of addressing the sequential nature of the code in order to further enhance its efficiency. � 2006-2017 Asian Research Publishing Network (ARPN). Final 2023-05-29T06:38:59Z 2023-05-29T06:38:59Z 2017 Article 2-s2.0-85018861183 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018861183&partnerID=40&md5=c37b55878a311b286b5bdf4f341304ae https://irepository.uniten.edu.my/handle/123456789/23272 12 8 2515 2519 Asian Research Publishing Network Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The MPPM numerical method parallelization by utilizing the OpenMP environment is reported in this paper. The objective of this work is to reduce the MPPM method computation time by exploiting the otherwise idle processors and overall improve the efficiency of the method. The code solving the Rayleigh-Taylor instability model was originally written using Fortran77 and is considerably slow and was rewritten in C language then parallelized using OpenMP directives. The highest obtained speedup value resulting from OpenMP parallelization is found to be 2.3 which is achieved through utilizing 6 threads out of the available 12 threads. The work presents the possible performance improvement and the importance of addressing the sequential nature of the code in order to further enhance its efficiency. � 2006-2017 Asian Research Publishing Network (ARPN).
author2 57194147189
author_facet 57194147189
Ibrahim A.M.E.
Ng K.C.
Yusoff M.Z.
format Article
author Ibrahim A.M.E.
Ng K.C.
Yusoff M.Z.
spellingShingle Ibrahim A.M.E.
Ng K.C.
Yusoff M.Z.
Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP
author_sort Ibrahim A.M.E.
title Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP
title_short Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP
title_full Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP
title_fullStr Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP
title_full_unstemmed Parallelization of the moving particle pressure mesh (MPPM) fluid flow solver by using OpenMP
title_sort parallelization of the moving particle pressure mesh (mppm) fluid flow solver by using openmp
publisher Asian Research Publishing Network
publishDate 2023
_version_ 1806424222693588992
score 13.214268