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Authors: Noel Lopes 1 and Bernardete Ribeiro 2

Affiliations: 1 CISUC - Center for Informatics and Systems of University of Coimbra; UDI/IPG - Research Unit, Polytechnic Institute of Guarda, Portugal ; 2 CISUC - Center for Informatics and Systems of University of Coimbra, Portugal

ISBN: 978-989-674-021-4

Keyword(s): Neural networks, Multiple back-propagation, Pattern recognition, GPU computing, Parallel programming.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Graphics Processing Units (GPUs) have evolved into a highly parallel, multi-threaded, many-core processor with enormous computational power. The GPU is especially well suited to address pattern recognition problems that can be expressed as data-parallel computations. Thus it provides a viable alternative to the use of dedicated hardware in the neural network (NN) field, where the long training times have always been a major drawback. In this paper, we propose a GPU implementation of the online (stochastic) training mode of the Multiple Back-Propagation (MBP) algorithm and compare it with corresponding standalone CPU version and with the batch training mode GPU implementation. For a fair and unbiased comparison we run the experiments with benchmarks from machine learning and pattern recognition field and we show that the GPU performance excel the CPU results in particular for high complex problems.

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Paper citation in several formats:
Lopes N.; Ribeiro B. and (2010). STOCHASTIC GPU-BASED MULTITHREAD IMPLEMENTATION OF MULTIPLE BACK-PROPAGATION.In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 271-276. DOI: 10.5220/0002722102710276

@conference{icaart10,
author={Noel Lopes and Bernardete Ribeiro},
title={STOCHASTIC GPU-BASED MULTITHREAD IMPLEMENTATION OF MULTIPLE BACK-PROPAGATION},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={271-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002722102710276},
isbn={978-989-674-021-4},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - STOCHASTIC GPU-BASED MULTITHREAD IMPLEMENTATION OF MULTIPLE BACK-PROPAGATION
SN - 978-989-674-021-4
AU - Lopes, N.
AU - Ribeiro, B.
PY - 2010
SP - 271
EP - 276
DO - 10.5220/0002722102710276

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