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Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC

OpenACC is a directive based parallel programming library that allows for easy acceleration of existing C, C++ and Fortran based applications with minimal code modifications. By annotating the bottleneck causing section of the code with OpenACC directives, the acceleration of the code can be simplif...

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Main Authors: Abdulqader, Ibrahim Mundher, Lim, Kim Chuan
Format: Article
Language:English
Published: Penerbit Universiti, UTeM 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/20109/1/ICTEC2017.pdf
http://eprints.utem.edu.my/id/eprint/20109/
http://journal.utem.edu.my/index.php/jtec
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spelling my.utem.eprints.201092021-08-09T19:36:04Z http://eprints.utem.edu.my/id/eprint/20109/ Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC Abdulqader, Ibrahim Mundher Lim, Kim Chuan TK Electrical engineering. Electronics Nuclear engineering OpenACC is a directive based parallel programming library that allows for easy acceleration of existing C, C++ and Fortran based applications with minimal code modifications. By annotating the bottleneck causing section of the code with OpenACC directives, the acceleration of the code can be simplified, leading for high portability of performance across different target Graphic Processing Units (GPUs). In this work, the portability of an implemented parallelizable chi-square based pixel similarity measurement algorithm has been evaluated on two consumer and professional grade GPUs. To our best knowledge, this is the first performance evaluation report that utilizes the OpenACC optimization clauses (collapse and tile) on different GPUs to process a less workload (low resolution image of 581x429 pixels) and a heavy workload (high resolution image of 4500 x 3500 pixels) to demonstrate the effectiveness and high portability of OpenACC. Penerbit Universiti, UTeM 2017 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20109/1/ICTEC2017.pdf Abdulqader, Ibrahim Mundher and Lim, Kim Chuan (2017) Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) . ISSN 2180-1843 (In Press) http://journal.utem.edu.my/index.php/jtec
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdulqader, Ibrahim Mundher
Lim, Kim Chuan
Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
description OpenACC is a directive based parallel programming library that allows for easy acceleration of existing C, C++ and Fortran based applications with minimal code modifications. By annotating the bottleneck causing section of the code with OpenACC directives, the acceleration of the code can be simplified, leading for high portability of performance across different target Graphic Processing Units (GPUs). In this work, the portability of an implemented parallelizable chi-square based pixel similarity measurement algorithm has been evaluated on two consumer and professional grade GPUs. To our best knowledge, this is the first performance evaluation report that utilizes the OpenACC optimization clauses (collapse and tile) on different GPUs to process a less workload (low resolution image of 581x429 pixels) and a heavy workload (high resolution image of 4500 x 3500 pixels) to demonstrate the effectiveness and high portability of OpenACC.
format Article
author Abdulqader, Ibrahim Mundher
Lim, Kim Chuan
author_facet Abdulqader, Ibrahim Mundher
Lim, Kim Chuan
author_sort Abdulqader, Ibrahim Mundher
title Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
title_short Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
title_full Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
title_fullStr Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
title_full_unstemmed Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
title_sort evaluation of image pixels similarity measurement algorithm accelerated on gpu with openacc
publisher Penerbit Universiti, UTeM
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20109/1/ICTEC2017.pdf
http://eprints.utem.edu.my/id/eprint/20109/
http://journal.utem.edu.my/index.php/jtec
_version_ 1709671877816877056
score 13.211869

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