Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/7254
Title: Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
Authors: Md Salleh, N.S. 
Bin Mohamad Shariff, A.S. 
Bin Kamsani, M.I.A. 
Nazeri, S. 
Issue Date: 2015
Abstract: 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.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/7254
Appears in Collections:CSIT Scholarly Publication

Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.