Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing techni...
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| Format: | Article |
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IJECS
2010
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| Online Access: | http://scholars.utp.edu.my/id/eprint/2090/ |
| _version_ | 1848659202004746240 |
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| author | Hussin, Fawnizu Azmadi Mohd Nazlee, Anas Zain Ali, Noohul Basheer |
| author_facet | Hussin, Fawnizu Azmadi Mohd Nazlee, Anas Zain Ali, Noohul Basheer |
| author_sort | Hussin, Fawnizu Azmadi |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. The ported source code is then optimized by managing the resources to achieve performance gain over CPU. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. Direct integration guideline for porting the source code is then produced based on the two implementations. |
| first_indexed | 2025-11-13T07:26:40Z |
| format | Article |
| id | oai:scholars.utp.edu.my:2090 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| last_indexed | 2025-11-13T07:26:40Z |
| publishDate | 2010 |
| publisher | IJECS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:20902014-04-01T03:37:19Z http://scholars.utp.edu.my/id/eprint/2090/ Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA Hussin, Fawnizu Azmadi Mohd Nazlee, Anas Zain Ali, Noohul Basheer QA75 Electronic computers. Computer science Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. The ported source code is then optimized by managing the resources to achieve performance gain over CPU. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. Direct integration guideline for porting the source code is then produced based on the two implementations. IJECS 2010-02-10 Article PeerReviewed Hussin, Fawnizu Azmadi and Mohd Nazlee, Anas and Zain Ali, Noohul Basheer (2010) Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA. International Journal of Electrical & Computer Sciences IJECS / IJENS, 10 (01). pp. 40-47. ISSN 2077-1231 http://www.ijens.org/IJECS%20Vol%2010%20Issue%2001.html |
| spellingShingle | QA75 Electronic computers. Computer science Hussin, Fawnizu Azmadi Mohd Nazlee, Anas Zain Ali, Noohul Basheer Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA |
| title | Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA |
| title_full | Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA |
| title_fullStr | Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA |
| title_full_unstemmed | Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA |
| title_short | Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA |
| title_sort | tranformation of cpu-based applications to leverage on graphics processors using cuda |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2090/ http://scholars.utp.edu.my/id/eprint/2090/ |