Parallel backpropagation neural network training for face recognition

Batyrkhan Omarov, Azizah Suliman, Anton Tsoy

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper, we describe implementation of ANN training process using backpropagation learning algorithm for exploiting the high performance SIMD architecture of GPU using CUDA. We also compare sequential and parallel algorithm execution times and conducted speedup analysis for both the methods. The simulation results demonstrate a significant decrease on executing times and greater speedup than serial implementation of training and learning processes. All due to the parallel algorithm and use of the GPU, the training time for huge set of images get reduced significantly increasing the accuracy rate of face recognition.

Original languageEnglish
Pages (from-to)801-808
Number of pages8
JournalFar East Journal of Electronics and Communications
Volume16
Issue number4
DOIs
Publication statusPublished - 01 Dec 2016

Fingerprint

Face recognition
Backpropagation
Parallel algorithms
Neural networks
Backpropagation algorithms
Learning algorithms
Graphics processing unit

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

@article{62af65acae2b42c1881aeedf1a702528,
title = "Parallel backpropagation neural network training for face recognition",
abstract = "In this paper, we describe implementation of ANN training process using backpropagation learning algorithm for exploiting the high performance SIMD architecture of GPU using CUDA. We also compare sequential and parallel algorithm execution times and conducted speedup analysis for both the methods. The simulation results demonstrate a significant decrease on executing times and greater speedup than serial implementation of training and learning processes. All due to the parallel algorithm and use of the GPU, the training time for huge set of images get reduced significantly increasing the accuracy rate of face recognition.",
author = "Batyrkhan Omarov and Azizah Suliman and Anton Tsoy",
year = "2016",
month = "12",
day = "1",
doi = "10.17654/EC016040801",
language = "English",
volume = "16",
pages = "801--808",
journal = "Far East Journal of Electronics and Communications",
issn = "0973-7006",
publisher = "Pushpa Publishing House",
number = "4",

}

Parallel backpropagation neural network training for face recognition. / Omarov, Batyrkhan; Suliman, Azizah; Tsoy, Anton.

In: Far East Journal of Electronics and Communications, Vol. 16, No. 4, 01.12.2016, p. 801-808.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Parallel backpropagation neural network training for face recognition

AU - Omarov, Batyrkhan

AU - Suliman, Azizah

AU - Tsoy, Anton

PY - 2016/12/1

Y1 - 2016/12/1

N2 - In this paper, we describe implementation of ANN training process using backpropagation learning algorithm for exploiting the high performance SIMD architecture of GPU using CUDA. We also compare sequential and parallel algorithm execution times and conducted speedup analysis for both the methods. The simulation results demonstrate a significant decrease on executing times and greater speedup than serial implementation of training and learning processes. All due to the parallel algorithm and use of the GPU, the training time for huge set of images get reduced significantly increasing the accuracy rate of face recognition.

AB - In this paper, we describe implementation of ANN training process using backpropagation learning algorithm for exploiting the high performance SIMD architecture of GPU using CUDA. We also compare sequential and parallel algorithm execution times and conducted speedup analysis for both the methods. The simulation results demonstrate a significant decrease on executing times and greater speedup than serial implementation of training and learning processes. All due to the parallel algorithm and use of the GPU, the training time for huge set of images get reduced significantly increasing the accuracy rate of face recognition.

UR - http://www.scopus.com/inward/record.url?scp=85006333151&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85006333151&partnerID=8YFLogxK

U2 - 10.17654/EC016040801

DO - 10.17654/EC016040801

M3 - Article

AN - SCOPUS:85006333151

VL - 16

SP - 801

EP - 808

JO - Far East Journal of Electronics and Communications

JF - Far East Journal of Electronics and Communications

SN - 0973-7006

IS - 4

ER -