Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

16 Nov 2017Shaohuai ShiXiaowen Chu

Deep learning frameworks have been widely deployed on GPU servers for deep learning applications in both academia and industry. In the training of deep neural networks (DNNs), there are many standard processes or algorithms, such as convolution and stochastic gradient descent (SGD), but the running performance of different frameworks might be different even running the same deep model on the same GPU hardware... (read more)

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