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On modelling parallel programmes 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: Koohi, Sina Zangbari, 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/66283/1/03%20JST%20Vol%2026%20%282%29%20Apr%202018_JST-0878-2017_pg523-544.pdf
http://psasir.upm.edu.my/id/eprint/66283/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2026%20(2)%20Apr.%202018/03%20JST%20Vol%2026%20(2)%20Apr%202018_JST-0878-2017_pg523-544.pdf
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spelling my.upm.eprints.662832019-02-12T07:01:48Z http://psasir.upm.edu.my/id/eprint/66283/ On modelling parallel programmes for static mapping: a comparative study Koohi, Sina Zangbari 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/66283/1/03%20JST%20Vol%2026%20%282%29%20Apr%202018_JST-0878-2017_pg523-544.pdf Koohi, Sina Zangbari and Abdul Hamid, Nor Asilah Wati and Othman, Mohamed and Ibragimov, Gafurjan (2018) On modelling parallel programmes for static mapping: a comparative study. Pertanika Journal of Science & Technology, 26 (2). pp. 523-544. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2026%20(2)%20Apr.%202018/03%20JST%20Vol%2026%20(2)%20Apr%202018_JST-0878-2017_pg523-544.pdf
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 Koohi, Sina Zangbari
Abdul Hamid, Nor Asilah Wati
Othman, Mohamed
Ibragimov, Gafurjan
spellingShingle Koohi, Sina Zangbari
Abdul Hamid, Nor Asilah Wati
Othman, Mohamed
Ibragimov, Gafurjan
On modelling parallel programmes for static mapping: a comparative study
author_facet Koohi, Sina Zangbari
Abdul Hamid, Nor Asilah Wati
Othman, Mohamed
Ibragimov, Gafurjan
author_sort Koohi, Sina Zangbari
title On modelling parallel programmes for static mapping: a comparative study
title_short On modelling parallel programmes for static mapping: a comparative study
title_full On modelling parallel programmes for static mapping: a comparative study
title_fullStr On modelling parallel programmes for static mapping: a comparative study
title_full_unstemmed On modelling parallel programmes for static mapping: a comparative study
title_sort on modelling parallel programmes for static mapping: a comparative study
publisher Universiti Putra Malaysia Press
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/66283/1/03%20JST%20Vol%2026%20%282%29%20Apr%202018_JST-0878-2017_pg523-544.pdf
http://psasir.upm.edu.my/id/eprint/66283/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2026%20(2)%20Apr.%202018/03%20JST%20Vol%2026%20(2)%20Apr%202018_JST-0878-2017_pg523-544.pdf
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score 13.211869

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