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Deep neural networks have been shown to achieve state-of-the-art performance in several machine learning tasks.
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
John N Tsitsiklis, Dimitri P Bertsekas, Michael Athans, et al · 1986
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 2009
Earlier work this paper cites.
Distributed delayed stochastic optimization
Alekh Agarwal and John C Duchi · 2011
Earlier work this paper cites.
Large scale distributed deep networks
Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc’Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, and Andrew Y. Ng · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
MPI: A Message-Passing Interface Standard Version 3.0, 2012
MPI-Forum · 2012
Earlier work this paper cites.
More effective distributed ml via a stale synchronous parallel parameter server
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B Gibbons, Garth A Gibson, Greg Ganger, and Eric P Xing · 2013
Cited alongside, same era.
Distributed asynchronous optimization of convolutional neural networks
William Chan and Ian Lane · 2014
Cited alongside, same era.
Project adam: Building an efficient and scalable deep learning training system
Trishul Chilimbi, Yutaka Suzue, Johnson Apacible, and Karthik Kalyanaraman · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
Cited alongside, same era.
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns
Frank Seide, Hao Fu, Jasha Droppo, Gang Li, and Dong Yu · 2014
Cited alongside, same era.
Model accuracy and runtime tradeoff in distributed deep learning
S. Gupta, W. Zhang, and J. Milthorpe · 2015
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Asynchronous parallel stochastic gradient for nonconvex optimization
Xiangru Lian, Yijun Huang, Yuncheng Li, and Ji Liu · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Scalable distributed dnn training using commodity gpu cloud computing
Nikko Strom · 2015
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Deep image: Scaling up image recognition
Ren Wu, Shengen Yan, Yi Shan, Qingqing Dang, and Gang Sun · 2015
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