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Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs

Schüssler, Olena and Loyola, Diego (2011) Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs. In: Adaptive and NAtural Computing Algorithms Lecture Notes in Computer Science, 6593. Springer Berlin / Heidelberg. pp. 70-79. ISBN 978-3-642-20281-0.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1007/978-3-642-20282-7_8

Abstract

This paper reports on methods for the parallelization of artificial neural networks algorithms using multithreaded and multicore CPUs in order to speed up the training process. The developed algorithms were implemented in two common parallel programming paradigms and their performances are assessed using four datasets with diverse amounts of patterns and with different neural network architectures. All results show a significant increase in computation speed, which is reduced nearly linear with the number of cores for problems with very large training datasets.

Document Type:Book Section
Title:Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs
Authors:
AuthorsInstitution or Email of Authors
Schüssler, OlenaDLR-IMF
Loyola, DiegoDLR-IMF
Date:2011
Journal or Publication Title: Adaptive and NAtural Computing Algorithms
Refereed publication:No
Volume:6593
Page Range:pp. 70-79
Editors:
EditorsEmail
Dobnikar, AndrejUNSPECIFIED
Lotric, UrošUNSPECIFIED
Šter, BrankoUNSPECIFIED
Publisher:Springer Berlin / Heidelberg
Series Name:Lecture Notes in Computer Science
ISBN:978-3-642-20281-0
Status:Published
Keywords:Neural network training – multithreading and multicore – Pthreads and OpenMP parallelization
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Ozon-SAF (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Diego Loyola
Deposited On:02 May 2011 11:55
Last Modified:19 Apr 2013 08:36

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