144 citations · 237 across the 8 of their papers we have counts for
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cs.DC2018★ 144 cited
Beyond Data and Model Parallelism for Deep Neural Networks
Zhihao Jia, Matei Zaharia, Alex Aiken
The computational requirements for training deep neural networks (DNNs) have grown to the point that it is now standard practice to parallelize training. Existing deep learning sys…
cs.LG2018★ 49 cited
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia, Sina Lin, Charles R. Qi +1
The past few years have witnessed growth in the computational requirements for training deep convolutional neural networks. Current approaches parallelize training onto multiple de…