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We demonstrate that training ResNet-50 on ImageNet for 90 epochs can beachieved in 15 minutes with 1024 Tesla P100 GPUs. This was made possible byusing a large minibatch size of 32k. To maintain accuracy with this largeminibatch size, we employed several techniques such as RMSprop warm-up, batchnormalization without moving averages, and a slow-start learning rate schedule.This paper also describes the details of the hardware and software of thesystem used to achieve the above performance.

Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes