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Parallel execution of SVM training using graphics processing units (SVMTrGPUs)

Array processing; Benchmarking; Computer graphics; Control systems; Diagnosis; Parallel processing systems; Pattern recognition; Program processors; Search engines; Vectors; World Wide Web; Computational problem; CUDA; Graphics Processing Unit; Graphics processing units; Pattern classification techn...

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Main Authors: Salleh N.S.M., Baharim M.F.
Other Authors: 54946009300
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-22720
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spelling my.uniten.dspace-227202023-05-29T14:11:49Z Parallel execution of SVM training using graphics processing units (SVMTrGPUs) Salleh N.S.M. Baharim M.F. 54946009300 57190275900 Array processing; Benchmarking; Computer graphics; Control systems; Diagnosis; Parallel processing systems; Pattern recognition; Program processors; Search engines; Vectors; World Wide Web; Computational problem; CUDA; Graphics Processing Unit; Graphics processing units; Pattern classification techniques; Performance analysis; UCW dataset; Vector processors; Support vector machines Parallel computing is a simultaneous use of multiple compute resources, for example, processors to solve complex computational problems. It has been used in high-end computing areas such as pattern recognition, medical diagnosis, national defense, and web search engine. This paper focuses on the implementation of pattern classification technique, Support Vector Machine (SVM) using vector processor approach. We have carried out a performance analysis to benchmark the sequential SVM program against the Graphics Processing Units (GPUs) optimization. The result shows that the parallelization of SVM training duration achieves a better performance than the sequential code speedups by 6.40. � 2015 IEEE. Final 2023-05-29T06:11:49Z 2023-05-29T06:11:49Z 2016 Conference Paper 10.1109/ICCSCE.2015.7482194 2-s2.0-84978834001 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978834001&doi=10.1109%2fICCSCE.2015.7482194&partnerID=40&md5=a087d4e6d782bd93e437661111322b9d https://irepository.uniten.edu.my/handle/123456789/22720 7482194 260 263 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Array processing; Benchmarking; Computer graphics; Control systems; Diagnosis; Parallel processing systems; Pattern recognition; Program processors; Search engines; Vectors; World Wide Web; Computational problem; CUDA; Graphics Processing Unit; Graphics processing units; Pattern classification techniques; Performance analysis; UCW dataset; Vector processors; Support vector machines
author2 54946009300
author_facet 54946009300
Salleh N.S.M.
Baharim M.F.
format Conference Paper
author Salleh N.S.M.
Baharim M.F.
spellingShingle Salleh N.S.M.
Baharim M.F.
Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
author_sort Salleh N.S.M.
title Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
title_short Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
title_full Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
title_fullStr Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
title_full_unstemmed Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
title_sort parallel execution of svm training using graphics processing units (svmtrgpus)
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425673027289088
score 13.222552

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