Parallel implementation of artificial neural network training

In this paper we describe the implementation of a complete ANN training procedure for speech recognition using the block mode back-propagation learning algorithm. We exploit the high performance SIMD architecture of GPU using CUDA and its C-like language interface. We also compare the speed-up obtai...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Scanzio, Stefano, Cumani, Sandro, Gemello, Roberto, Mana, Franco, Laface, P
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustic testing Artificial Neural Network Artificial neural networks CUDA Fast Training Feedforward systems Focused Attention Back-Propagation GPU Hidden Markov models Libraries Matrix converters Multicore processing Speech recognition State estimation Vocabulary
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