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Multifold Acceleration of Neural Network Computations Using GPU

2009; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-04274-4_39

1611-3349

Alexander Guzhva, S. A. Dolenko, I. G. Persiantsev,

Advanced Vision and Imaging

With emergence of graphics processing units (GPU) of the latest generation, it became possible to undertake neural network based computations using GPU on serially produced video display adapters. In this study, NVIDIA CUDA technology has been used to implement standard back-propagation algorithm for training multiple perceptrons simultaneously on GPU. For the problem considered, GPU-based implementation (on NVIDIA GTX 260 GPU) has lead to a 50x speed increase compared to a highly optimized CPU-based computer program, and more than 150x compared to a commercially available CPU-based software (NeuroShell 2) (AMD Athlon 64 Dual core 6000+ processor).