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On green and energy-aware GPU computing for scientific applications

Recently, modern graphics processing unit (GPU) has gained the reputation of computational accelerator that can achieve a significant increase in performance by reducing execution time for the different type of scientific application that demand high performance computing. While modern GPUs reduce t...

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Main Authors: Abdur Rahman, Abdul Hamid, Nor Asilah Wati, Abdul Rahiman, Amir Rizaan, Syed, Toqeer Ali, Zafar, Basim
Format: Conference or Workshop Item
Language:English
Published: Society of Digital Information and Wireless Communications (SDIWC) 2015
Online Access:http://psasir.upm.edu.my/id/eprint/59035/1/38-3.pdf
http://psasir.upm.edu.my/id/eprint/59035/
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spelling my.upm.eprints.590352018-02-21T06:13:11Z http://psasir.upm.edu.my/id/eprint/59035/ On green and energy-aware GPU computing for scientific applications Abdur Rahman Abdul Hamid, Nor Asilah Wati Abdul Rahiman, Amir Rizaan Syed, Toqeer Ali Zafar, Basim Recently, modern graphics processing unit (GPU) has gained the reputation of computational accelerator that can achieve a significant increase in performance by reducing execution time for the different type of scientific application that demand high performance computing. While modern GPUs reduce the execution time of a parallel application as compared to the CPU implementation, but this performance is sometimes achieved at an expense of considerable power and energy consumption. This paper seeks to characterize and explore the impression of high power consumption in a GPU. We examine this notion by reviewing techniques used by researchers to analyze the performance, power, and energy characteristics of GPUs that are utilized for scientific computing. These studies consider applications that run on a traditional CPU setup, and the transformed parallel applications, running on hybrid CPU+GPU environment. These studies indicated that the heterogeneous CPU+GPU environment delivers an energy-aware and sustainable product that is much better than a traditional CPU application. Society of Digital Information and Wireless Communications (SDIWC) 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59035/1/38-3.pdf Abdur Rahman and Abdul Hamid, Nor Asilah Wati and Abdul Rahiman, Amir Rizaan and Syed, Toqeer Ali and Zafar, Basim (2015) On green and energy-aware GPU computing for scientific applications. In: Third International Conference on Green Computing, Technology and Innovation (ICGCTI2015), 8-10 Dec. 2015, Universiti Putra Malaysia. (pp. 31-37).
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 Recently, modern graphics processing unit (GPU) has gained the reputation of computational accelerator that can achieve a significant increase in performance by reducing execution time for the different type of scientific application that demand high performance computing. While modern GPUs reduce the execution time of a parallel application as compared to the CPU implementation, but this performance is sometimes achieved at an expense of considerable power and energy consumption. This paper seeks to characterize and explore the impression of high power consumption in a GPU. We examine this notion by reviewing techniques used by researchers to analyze the performance, power, and energy characteristics of GPUs that are utilized for scientific computing. These studies consider applications that run on a traditional CPU setup, and the transformed parallel applications, running on hybrid CPU+GPU environment. These studies indicated that the heterogeneous CPU+GPU environment delivers an energy-aware and sustainable product that is much better than a traditional CPU application.
format Conference or Workshop Item
author Abdur Rahman
Abdul Hamid, Nor Asilah Wati
Abdul Rahiman, Amir Rizaan
Syed, Toqeer Ali
Zafar, Basim
spellingShingle Abdur Rahman
Abdul Hamid, Nor Asilah Wati
Abdul Rahiman, Amir Rizaan
Syed, Toqeer Ali
Zafar, Basim
On green and energy-aware GPU computing for scientific applications
author_facet Abdur Rahman
Abdul Hamid, Nor Asilah Wati
Abdul Rahiman, Amir Rizaan
Syed, Toqeer Ali
Zafar, Basim
author_sort Abdur Rahman
title On green and energy-aware GPU computing for scientific applications
title_short On green and energy-aware GPU computing for scientific applications
title_full On green and energy-aware GPU computing for scientific applications
title_fullStr On green and energy-aware GPU computing for scientific applications
title_full_unstemmed On green and energy-aware GPU computing for scientific applications
title_sort on green and energy-aware gpu computing for scientific applications
publisher Society of Digital Information and Wireless Communications (SDIWC)
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/59035/1/38-3.pdf
http://psasir.upm.edu.my/id/eprint/59035/
_version_ 1643836959422939136
score 13.211869

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