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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| Format: | Article |
| Language: | en |
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Penerbit Universiti, UTeM
2017
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| 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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| _version_ | 1832717427160383488 |
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| author | Abdulqader, Ibrahim Mundher Lim, Kim Chuan |
| author_facet | Abdulqader, Ibrahim Mundher Lim, Kim Chuan |
| author_sort | Abdulqader, Ibrahim Mundher |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utem.eprints-20109 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2017 |
| publisher | Penerbit Universiti, UTeM |
| record_format | eprints |
| 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |
| url_provider | http://eprints.utem.edu.my/ |