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On modeling parallel programs for static mapping: a comparative study

Heterogeneous parallel architecture (HPA) are inherently more complicated than their homogeneous counterpart. HPAs allow composition of conventional processors, with specialised processors that target particular types of task. However, this makes mapping and scheduling even more complicated and diff...

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Main Authors: Zangbari, Sina, Abdul Hamid, Nor Asilah Wati, Othman, Mohamed, Ibragimov, Gafurjan
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2018
Online Access:http://psasir.upm.edu.my/id/eprint/75127/1/On%20modelling%20parallel.pdf
http://psasir.upm.edu.my/id/eprint/75127/
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spelling my.upm.eprints.751272020-03-17T08:23:38Z http://psasir.upm.edu.my/id/eprint/75127/ On modeling parallel programs for static mapping: a comparative study Zangbari, Sina Abdul Hamid, Nor Asilah Wati Othman, Mohamed Ibragimov, Gafurjan Heterogeneous parallel architecture (HPA) are inherently more complicated than their homogeneous counterpart. HPAs allow composition of conventional processors, with specialised processors that target particular types of task. However, this makes mapping and scheduling even more complicated and difficult in parallel applications. Therefore, it is crucial to use a robust modelling approach that can capture all the critical characteristics of the application and facilitate the achieving of optimal mapping. In this study, we perform a concise theoretical analysis as well as a comparison of the existing modelling approaches of parallel applications. The theoretical perspective includes both formal concepts and mathematical definitions based on existing scholarly literature. The important characteristics, success factors and challenges of these modelling approaches have been compared and categorised. The results of the theoretical analysis and comparisons show that the existing modelling approaches still need improvement in parallel application modelling in many aspects such as covered metrics and heterogeneity of processors and networks. Moreover, the results assist us to introduce a new approach, which improves the quality of mapping by taking heterogeneity in action and covering more metrics that help to justify the results in a more accurate way. Universiti Putra Malaysia Press 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/75127/1/On%20modelling%20parallel.pdf Zangbari, Sina and Abdul Hamid, Nor Asilah Wati and Othman, Mohamed and Ibragimov, Gafurjan (2018) On modeling parallel programs for static mapping: a comparative study. Pertanika Journal of Science and Technology, 26 (2). 523 - 544. ISSN 0128-7680
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Heterogeneous parallel architecture (HPA) are inherently more complicated than their homogeneous counterpart. HPAs allow composition of conventional processors, with specialised processors that target particular types of task. However, this makes mapping and scheduling even more complicated and difficult in parallel applications. Therefore, it is crucial to use a robust modelling approach that can capture all the critical characteristics of the application and facilitate the achieving of optimal mapping. In this study, we perform a concise theoretical analysis as well as a comparison of the existing modelling approaches of parallel applications. The theoretical perspective includes both formal concepts and mathematical definitions based on existing scholarly literature. The important characteristics, success factors and challenges of these modelling approaches have been compared and categorised. The results of the theoretical analysis and comparisons show that the existing modelling approaches still need improvement in parallel application modelling in many aspects such as covered metrics and heterogeneity of processors and networks. Moreover, the results assist us to introduce a new approach, which improves the quality of mapping by taking heterogeneity in action and covering more metrics that help to justify the results in a more accurate way.
format Article
author Zangbari, Sina
Abdul Hamid, Nor Asilah Wati
Othman, Mohamed
Ibragimov, Gafurjan
spellingShingle Zangbari, Sina
Abdul Hamid, Nor Asilah Wati
Othman, Mohamed
Ibragimov, Gafurjan
On modeling parallel programs for static mapping: a comparative study
author_facet Zangbari, Sina
Abdul Hamid, Nor Asilah Wati
Othman, Mohamed
Ibragimov, Gafurjan
author_sort Zangbari, Sina
title On modeling parallel programs for static mapping: a comparative study
title_short On modeling parallel programs for static mapping: a comparative study
title_full On modeling parallel programs for static mapping: a comparative study
title_fullStr On modeling parallel programs for static mapping: a comparative study
title_full_unstemmed On modeling parallel programs for static mapping: a comparative study
title_sort on modeling parallel programs for static mapping: a comparative study
publisher Universiti Putra Malaysia Press
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/75127/1/On%20modelling%20parallel.pdf
http://psasir.upm.edu.my/id/eprint/75127/
_version_ 1662756508134277120
score 13.211869

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