Parallel Deep Neural Network Training for Big Data on Blue Gene/Q

@article{Chung2014ParallelDN,
  title={Parallel Deep Neural Network Training for Big Data on Blue Gene/Q},
  author={I-Hsin Chung and Tara N. Sainath and Bhuvana Ramabhadran and Michael Picheny and John A. Gunnels and Vernon Austel and Upendra V. Chaudhari and Brian Kingsbury},
  journal={SC14: International Conference for High Performance Computing, Networking, Storage and Analysis},
  year={2014},
  pages={745-753}
}
Deep Neural Networks (DNNs) have recently been shown to significantly outperform existing machine learning techniques in several pattern recognition tasks. DNNs are the state-of-the-art models used in image recognition, object detection, classification and tracking, and speech and language processing applications. The biggest drawback to DNNs has been the enormous cost in computation and time taken to train the parameters of the networks - often a tenfold increase relative to conventional… CONTINUE READING
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