Latte: a language, compiler, and runtime for elegant and efficient deep neural networks-Reference-Cited by-同舟云学术

Latte: a language, compiler, and runtime for elegant and efficient deep neural networks

Published:2016-06-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation
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Author:

Truong Leonard¹,Barik Rajkishore²,Totoni Ehsan²,Liu Hai²,Markley Chick³,Fox Armando³,Shpeisman Tatiana²

Affiliation:

1. Intel Labs, USA / University of California at Berkeley, USA

2. Intel Labs, USA

3. University of California at Berkeley, USA

Funder

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2908080.2908105

Reference49 articles.

1. Effective Use of the Intel Compiler’s Offload Features. URL https://software.intel.com/en-us/articles/ effective-use-of-the-intel-compilers-offloadfeatures. Effective Use of the Intel Compiler’s Offload Features. URL https://software.intel.com/en-us/articles/ effective-use-of-the-intel-compilers-offloadfeatures.

2. Torch NN. https://github.com/torch/nn 2015. Torch NN. https://github.com/torch/nn 2015.

3. M. Abadi A. Agarwal P. Barham E. Brevdo Z. Chen C. Citro G. S. Corrado A. Davis J. Dean M. Devin S. Ghemawat I. Goodfellow A. Harp G. Irving M. Isard Y. Jia R. Jozefowicz L. Kaiser M. Kudlur J. Levenberg D. Mané R. Monga S. Moore D. Murray C. Olah M. Schuster J. Shlens B. Steiner I. Sutskever K. Talwar P. Tucker V. Vanhoucke V. Vasudevan F. Viégas O. Vinyals P. Warden M. Wattenberg M. Wicke Y. Yu and X. Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems 2015. URL http://tensorflow.org/. M. Abadi A. Agarwal P. Barham E. Brevdo Z. Chen C. Citro G. S. Corrado A. Davis J. Dean M. Devin S. Ghemawat I. Goodfellow A. Harp G. Irving M. Isard Y. Jia R. Jozefowicz L. Kaiser M. Kudlur J. Levenberg D. Mané R. Monga S. Moore D. Murray C. Olah M. Schuster J. Shlens B. Steiner I. Sutskever K. Talwar P. Tucker V. Vanhoucke V. Vasudevan F. Viégas O. Vinyals P. Warden M. Wattenberg M. Wicke Y. Yu and X. Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems 2015. URL http://tensorflow.org/.

4. Backpropagation and stochastic gradient descent method

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