Multifold acceleration of neural network computations using GPU

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5768 LNCS, Issue PART 1, 2009, Pages 373-380

  Guzhva, Alexander ^a   Dolenko, Sergey ^a   Persiantsev, Igor ^a  

^a MOSCOW STATE UNIVERSITY   (Russian Federation)

Author keywords

GPGPU; Neural networks; NVIDIA CUDA; Parallel computations; Perceptron

Indexed keywords

ATHLON 64; COMPUTER PROGRAM; DUAL CORE; GPGPU; GRAPHICS PROCESSING UNIT; NEUROSHELL 2; NVIDIA CUDA; PARALLEL COMPUTATIONS; PERCEPTRON; SPEED INCREASE; VIDEO DISPLAY;

BACKPROPAGATION; COMPUTER GRAPHICS EQUIPMENT; PATTERN RECOGNITION SYSTEMS; PROGRAM PROCESSORS;

NEURAL NETWORKS;

EID: 70350580861     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04274-4_39     Document Type: Conference Paper

References (6)

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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)
6. NVIDIA Corporation, http://www.nvidia.com