Multifold Acceleration of Neural Network Computations Using GPU-Reference-Cited by-同舟云学术

Multifold Acceleration of Neural Network Computations Using GPU

Published:2009 Issue: Volume: Page:373-380
ISSN:0302-9743
Container-title:Artificial Neural Networks – ICANN 2009
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Author:

Guzhva Alexander,Dolenko Sergey,Persiantsev Igor

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-04274-4_39

Reference6 articles.

1. NVIDIA Corporation, CUDA Zone, http://www.nvidia.com/object/cuda_home.html

2. Kyoung-Su Oh, K.S., Jung, K.: GPU implementation of neural networks. Pattern Recognition 37, 1311–1314 (2004)

3. Zhongwen, L., Hongzhi, L., Zhengping, Y., Xincai, W.: Self-Organizing Maps Computing on Graphic Process Unit. In: ESANN 2005 proceedings, European Symposium on Artificial Neural Networks Bruges, Belgium, April 27-29. d-side publi. (2005) ISBN 2-930307-05-6, http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2005-135.pdf

4. Lahabar, S., Agrawal, P., Narayanan, P.J.: High Performance Pattern Recognition on GPU, http://web.iiit.ac.in/~sheetal/Paper/NN.pdf

5. Guzhva, A.G., Dolenko, S.A., Obornev, E.A., Persiantsev, I.G., Shimelevich, M.I., Shugai, J.S.: Use of Significant Feature Selection Adaptive Algorithms in Neural Networks Based Solution of the Inverse Problem of Electrical Prospecting. In: 9th International Conference Pattern Recognition and Image Analysis: New Informational Technologies (PRIA 2008), Conference Proceedings, vol. 1, pp. 215–218. Nizhni Novgorod, Russia (2008)

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