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Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)

Application programming interfaces (API); Benchmarking; Diagnosis; Multiprocessing systems; Parallel processing systems; Pattern recognition; Search engines; World Wide Web; Computational problem; MNIST dataset; Multi-processing; OpenMP; Parallel executions; Pattern classification techniques; Perfor...

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Main Authors: Md Salleh N.S., Bin Mohamad Shariff A.S., Bin Kamsani M.I.A., Nazeri S.
Other Authors: 54946009300
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-22381
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spelling my.uniten.dspace-223812023-05-29T14:00:37Z Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP) Md Salleh N.S. Bin Mohamad Shariff A.S. Bin Kamsani M.I.A. Nazeri S. 54946009300 56728661300 56728801700 55372569700 Application programming interfaces (API); Benchmarking; Diagnosis; Multiprocessing systems; Parallel processing systems; Pattern recognition; Search engines; World Wide Web; Computational problem; MNIST dataset; Multi-processing; OpenMP; Parallel executions; Pattern classification techniques; Performance analysis; Symmetric multi-processors; Support vector machines Parallel computing is a simultaneous use of multiple compute resources such as processors to solve difficult computational problems. It has been used in high-end computing areas such as pattern recognition, defense, web search engine, and medical diagnosis. This paper focuses on the implementation of pattern classification technique, Support Vector Machine (SVM) using Symmetric Multi-Processor (SMP) approach. We have carried out a performance analysis to benchmark the sequential SVM program against the SMP approach. The result shows that the parallelization of SVM training achieves a better performance than the sequential code speed-ups by 15.9s. � 2014 IEEE. Final 2023-05-29T06:00:37Z 2023-05-29T06:00:37Z 2015 Conference Paper 10.1109/ICIMU.2014.7066610 2-s2.0-84937485091 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937485091&doi=10.1109%2fICIMU.2014.7066610&partnerID=40&md5=9f8fe3c6e7b73e2edaffd5cf517a56c8 https://irepository.uniten.edu.my/handle/123456789/22381 7066610 93 96 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 Application programming interfaces (API); Benchmarking; Diagnosis; Multiprocessing systems; Parallel processing systems; Pattern recognition; Search engines; World Wide Web; Computational problem; MNIST dataset; Multi-processing; OpenMP; Parallel executions; Pattern classification techniques; Performance analysis; Symmetric multi-processors; Support vector machines
author2 54946009300
author_facet 54946009300
Md Salleh N.S.
Bin Mohamad Shariff A.S.
Bin Kamsani M.I.A.
Nazeri S.
format Conference Paper
author Md Salleh N.S.
Bin Mohamad Shariff A.S.
Bin Kamsani M.I.A.
Nazeri S.
spellingShingle Md Salleh N.S.
Bin Mohamad Shariff A.S.
Bin Kamsani M.I.A.
Nazeri S.
Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
author_sort Md Salleh N.S.
title Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
title_short Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
title_full Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
title_fullStr Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
title_full_unstemmed Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
title_sort parallel execution of svm using symmetrical multi-processor (libsvm-omp)
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425544444608512
score 13.222552

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