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Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems

Objectives: This paper aims to simulate EHD ion-drag pumping model using Finite Difference Method (FDM) and to apply the idea of parallelism to reduce the computational time. Methods: The numerical simulation of EHD ion-drag pumping plays an important part not only to understand the different work...

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Main Authors: Shakeel Ahmed, Kamboh, Zubair, Ahmed Kalhoro, Kashif, Ali Abro, Jane, Labadin
Format: E-Article
Language:English
Published: Indian Society for Education and Environment 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/17207/1/Simulating%20Electrohydrodynamic%20Ion-Drag%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17207/
http://www.indjst.org/index.php/indjst/article/view/102620
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spelling my.unimas.ir.172072017-08-14T07:20:36Z http://ir.unimas.my/id/eprint/17207/ Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems Shakeel Ahmed, Kamboh Zubair, Ahmed Kalhoro Kashif, Ali Abro Jane, Labadin QA75 Electronic computers. Computer science Objectives: This paper aims to simulate EHD ion-drag pumping model using Finite Difference Method (FDM) and to apply the idea of parallelism to reduce the computational time. Methods: The numerical simulation of EHD ion-drag pumping plays an important part not only to understand the different working principles but also enables to model the designs with better performance. Since the performance of EHD pumps depends on the shapes and geometries of the actuator electrodes, therefore the variation in the geometric dimensions of the electrodes require dense and fine meshes for numerical solution. Consequently, the numerical simulations take unacceptably more execution time on sequential computers. For that reason, a Data Parallel Algorithm for EHD model (DPA-EHD) is designed. To implement the parallel algorithm a distributed parallel computing system using MATLAB Distributed Computing Server (MDCS) is configured. The computational time and speedup with respect to the different number of processors is evaluated. Findings: This results show that the parallel algorithm for EHD simulations may provide 4.14 times more speedup over sequential algorithm for large grid sizes. Improvements: This study shows the feasibility of using the parallelism to reduce the computational time in the EHD model enabling to simulate the micropumps with very small dimensions of electrodes. Indian Society for Education and Environment 2017 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/17207/1/Simulating%20Electrohydrodynamic%20Ion-Drag%20%28abstract%29.pdf Shakeel Ahmed, Kamboh and Zubair, Ahmed Kalhoro and Kashif, Ali Abro and Jane, Labadin (2017) Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems. Indian Journal of Science and Technology, 10 (24). ISSN 09746846 (Print) http://www.indjst.org/index.php/indjst/article/view/102620 DOI: 10.17485/ijst/2017/v10i24/102620
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Shakeel Ahmed, Kamboh
Zubair, Ahmed Kalhoro
Kashif, Ali Abro
Jane, Labadin
Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
description Objectives: This paper aims to simulate EHD ion-drag pumping model using Finite Difference Method (FDM) and to apply the idea of parallelism to reduce the computational time. Methods: The numerical simulation of EHD ion-drag pumping plays an important part not only to understand the different working principles but also enables to model the designs with better performance. Since the performance of EHD pumps depends on the shapes and geometries of the actuator electrodes, therefore the variation in the geometric dimensions of the electrodes require dense and fine meshes for numerical solution. Consequently, the numerical simulations take unacceptably more execution time on sequential computers. For that reason, a Data Parallel Algorithm for EHD model (DPA-EHD) is designed. To implement the parallel algorithm a distributed parallel computing system using MATLAB Distributed Computing Server (MDCS) is configured. The computational time and speedup with respect to the different number of processors is evaluated. Findings: This results show that the parallel algorithm for EHD simulations may provide 4.14 times more speedup over sequential algorithm for large grid sizes. Improvements: This study shows the feasibility of using the parallelism to reduce the computational time in the EHD model enabling to simulate the micropumps with very small dimensions of electrodes.
format E-Article
author Shakeel Ahmed, Kamboh
Zubair, Ahmed Kalhoro
Kashif, Ali Abro
Jane, Labadin
author_facet Shakeel Ahmed, Kamboh
Zubair, Ahmed Kalhoro
Kashif, Ali Abro
Jane, Labadin
author_sort Shakeel Ahmed, Kamboh
title Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
title_short Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
title_full Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
title_fullStr Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
title_full_unstemmed Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems
title_sort simulating electrohydrodynamic ion-drag pumping on distributed parallel computing systems
publisher Indian Society for Education and Environment
publishDate 2017
url http://ir.unimas.my/id/eprint/17207/1/Simulating%20Electrohydrodynamic%20Ion-Drag%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17207/
http://www.indjst.org/index.php/indjst/article/view/102620
_version_ 1644512561913135104
score 13.211869

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