Publication: Parallel execution of SVM using Symmetrical Multi-Processor (LIBSVM-OMP)
Date
2015
Authors
Md Salleh N.S.
Bin Mohamad Shariff A.S.
Bin Kamsani M.I.A.
Nazeri S.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
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.
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