Faster SGD training by minibatch persistency

19 Jun 2018Matteo FischettiIacopo MandatelliDomenico Salvagnin

It is well known that, for most datasets, the use of large-size minibatches for Stochastic Gradient Descent (SGD) typically leads to slow convergence and poor generalization. On the other hand, large minibatches are of great practical interest as they allow for a better exploitation of modern GPUs... (read more)

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