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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Main Authors: Hussin, Fawnizu Azmadi, Mohd Nazlee, Anas, Zain Ali, Noohul Basheer
Format: Article
Published: IJECS 2010
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Online Access:http://www.ijens.org/IJECS%20Vol%2010%20Issue%2001.html
http://eprints.utp.edu.my/2090/
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spelling my.utp.eprints.20902014-04-01T03:37:19Z 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 http://www.ijens.org/IJECS%20Vol%2010%20Issue%2001.html 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://eprints.utp.edu.my/2090/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
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
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.
format Article
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
title 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_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_sort tranformation of cpu-based applications to leverage on graphics processors using cuda
publisher IJECS
publishDate 2010
url http://www.ijens.org/IJECS%20Vol%2010%20Issue%2001.html
http://eprints.utp.edu.my/2090/
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score 13.222552