Performance Comparison of Parallel Execution Using GPU and CPU in SVM Training Session
Support Vector Machine (SVM) is a machine learning approach, which is used in a growing number of applications. SVM is a useful technique for data classification. This machine learning approach has been optimized using two (2) parallel computing approaches. This includes symmetric multiprocessor (SM...
Main Authors: | Salleh, N.S.M., Baharim, M.F. |
---|---|
Published: |
2018
|
Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/7253 |
Similar Items
-
Parallel execution of SVM training using graphics processing units (SVMTrGPUs)
by: Salleh, N.S.M., et al.
Published: (2018) -
Performance Comparison of Encryption Algorithm in CPU and GPU Platform
by: Cheong, Hon Sang
Published: (2015) -
Parallel execution of distributed SVM using MPI (CoDLib)
by: Salleh, N.S.M., et al.
Published: (2018) -
Parallel execution of distributed SVM using MPI (CoDLib)
by: Salleh, N.S.M., et al.
Published: (2018) -
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
by: Shamonin, Denis P., et al.
Published: (2014)