One weird trick for parallelizing convolutional neural networks

Preprint English OPEN
Krizhevsky, Alex (2014)
  • Subject: Computer Science - Distributed, Parallel, and Cluster Computing | Computer Science - Neural and Evolutionary Computing | Computer Science - Learning
    arxiv: Quantitative Biology::Neurons and Cognition | Computer Science::Neural and Evolutionary Computation

I present a new way to parallelize the training of convolutional neural networks across multiple GPUs. The method scales significantly better than all alternatives when applied to modern convolutional neural networks.
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