Implementation of artificial neural network on graphics processing unit for classification problems
The artificial neural network (NN) is widely use in pattern recognition related area such as classification. After all this time, the computational process of NN is done using central processing unit (CPU). In recent years, the introduction of graphics processing unit (GPU) has opened another way to...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
Springer Verlag
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74608/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989933351&doi=10.1007%2f978-3-319-45246-329&partnerID=40&md5=398e40b7db61b69349b1b11d66228e92 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.74608 |
---|---|
record_format |
eprints |
spelling |
my.utm.746082017-11-29T23:58:36Z http://eprints.utm.my/id/eprint/74608/ Implementation of artificial neural network on graphics processing unit for classification problems Anuar, Syahid Sallehuddin, Roselina Selamat, Ali QA76 Computer software The artificial neural network (NN) is widely use in pattern recognition related area such as classification. After all this time, the computational process of NN is done using central processing unit (CPU). In recent years, the introduction of graphics processing unit (GPU) has opened another way to perform calculations with the advantage to speed up the calculation. In this paper, the computational process of multilayer perceptron neural network be tested on GPU using classification datasets. The performance of NN model with different number of input, hidden and output neurons are explored and compared based on the computational between GPU and CPU. The experimental result shows that the computational on GPU is much faster than CPU Springer Verlag 2016 Article PeerReviewed Anuar, Syahid and Sallehuddin, Roselina and Selamat, Ali (2016) Implementation of artificial neural network on graphics processing unit for classification problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9876 L . pp. 303-310. ISSN 0302-9743 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989933351&doi=10.1007%2f978-3-319-45246-329&partnerID=40&md5=398e40b7db61b69349b1b11d66228e92 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
QA76 Computer software |
spellingShingle |
QA76 Computer software Anuar, Syahid Sallehuddin, Roselina Selamat, Ali Implementation of artificial neural network on graphics processing unit for classification problems |
description |
The artificial neural network (NN) is widely use in pattern recognition related area such as classification. After all this time, the computational process of NN is done using central processing unit (CPU). In recent years, the introduction of graphics processing unit (GPU) has opened another way to perform calculations with the advantage to speed up the calculation. In this paper, the computational process of multilayer perceptron neural network be tested on GPU using classification datasets. The performance of NN model with different number of input, hidden and output neurons are explored and compared based on the computational between GPU and CPU. The experimental result shows that the computational on GPU is much faster than CPU |
format |
Article |
author |
Anuar, Syahid Sallehuddin, Roselina Selamat, Ali |
author_facet |
Anuar, Syahid Sallehuddin, Roselina Selamat, Ali |
author_sort |
Anuar, Syahid |
title |
Implementation of artificial neural network on graphics processing unit for classification problems |
title_short |
Implementation of artificial neural network on graphics processing unit for classification problems |
title_full |
Implementation of artificial neural network on graphics processing unit for classification problems |
title_fullStr |
Implementation of artificial neural network on graphics processing unit for classification problems |
title_full_unstemmed |
Implementation of artificial neural network on graphics processing unit for classification problems |
title_sort |
implementation of artificial neural network on graphics processing unit for classification problems |
publisher |
Springer Verlag |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/74608/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989933351&doi=10.1007%2f978-3-319-45246-329&partnerID=40&md5=398e40b7db61b69349b1b11d66228e92 |
_version_ |
1643656890948780032 |
score |
13.149126 |