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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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833351510644228096 |
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| author | Salleh N.S.M. Baharim M.F. |
| author2 | 54946009300 |
| author_facet | 54946009300 Salleh N.S.M. Baharim M.F. |
| author_sort | Salleh N.S.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| format | Conference Paper |
| id | my.uniten.dspace-22720 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| 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 |
| spellingShingle | Salleh N.S.M. Baharim M.F. Parallel execution of SVM training using graphics processing units (SVMTrGPUs) |
| title | 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_short | Parallel execution of SVM training using graphics processing units (SVMTrGPUs) |
| title_sort | parallel execution of svm training using graphics processing units (svmtrgpus) |
| url_provider | http://dspace.uniten.edu.my/ |