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

Simple item page
dc.citedby1
dc.contributor.authorMd Salleh N.S.en_US
dc.contributor.authorBin Mohamad Shariff A.S.en_US
dc.contributor.authorBin Kamsani M.I.A.en_US
dc.contributor.authorNazeri S.en_US
dc.contributor.authorid54946009300en_US
dc.contributor.authorid56728661300en_US
dc.contributor.authorid56728801700en_US
dc.contributor.authorid55372569700en_US
dc.date.accessioned2023-05-29T06:00:37Z
dc.date.available2023-05-29T06:00:37Z
dc.date.issued2015
dc.descriptionApplication 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 machinesen_US
dc.description.abstractParallel 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7066610
dc.identifier.doi10.1109/ICIMU.2014.7066610
dc.identifier.epage96
dc.identifier.scopus2-s2.0-84937485091
dc.identifier.spage93
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937485091&doi=10.1109%2fICIMU.2014.7066610&partnerID=40&md5=9f8fe3c6e7b73e2edaffd5cf517a56c8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22381
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleConference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014
dc.titleParallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)en_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS