659 citations · 835 across the 26 of their papers we have counts for
Showing 2016Show all
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cs.NE2016★ 3 cited
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications
Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
In recent years, deep neural networks (DNNs), have yielded strong results on a wide range of applications. Graphics Processing Units (GPUs) have been one key enabling factor leadin…
cs.LG2016★ 53 cited
How to scale distributed deep learning?
Peter H. Jin, Qiaochu Yuan, Forrest Iandola +1
Training time on large datasets for deep neural networks is the principal workflow bottleneck in a number of important applications of deep learning, such as object classification…