Communication Quantization for Data-parallel Training of Deep Neural Networks

Dryden, N J; Moon, T Y; Jacobs, S A; Van Essen, B C

doi:10.1109/MLHPC.2016.004

Title: Communication Quantization for Data-parallel Training of Deep Neural Networks

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Authors:: Dryden, N J; Moon, T Y; Jacobs, S A; Van Essen, B C

Publication Date:: 2016-08-16

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1335772

Report Number(s):: LLNL-CONF-700919

DOE Contract Number:: AC52-07NA27344

Resource Type:: Conference

Resource Relation:: Conference: Presented at: Machine Learning in HPC Environments, Salt Lake City, UT, United States, Nov 13 - Nov 18, 2016

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats


                    Dryden, N J, Moon, T Y, Jacobs, S A, and Van Essen, B C. Communication Quantization for Data-parallel Training of Deep Neural Networks.  United States: N. p., 2016. 
        Web.  doi:10.1109/MLHPC.2016.004.

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                    Dryden, N J, Moon, T Y, Jacobs, S A, & Van Essen, B C. Communication Quantization for Data-parallel Training of Deep Neural Networks.  United States.  https://doi.org/10.1109/MLHPC.2016.004

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                    Dryden, N J, Moon, T Y, Jacobs, S A, and Van Essen, B C. 2016.  
        "Communication Quantization for Data-parallel Training of Deep Neural Networks".  United States.  https://doi.org/10.1109/MLHPC.2016.004.  https://www.osti.gov/servlets/purl/1335772.

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@article{osti_1335772,

  title        = {Communication Quantization for Data-parallel Training of Deep Neural Networks},

  author       = {Dryden, N J and Moon, T Y and Jacobs, S A and Van Essen, B C},

  abstractNote = {},

  doi          = {10.1109/MLHPC.2016.004},

  url          = {https://www.osti.gov/biblio/1335772},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {8}

}

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https://doi.org/10.1109/MLHPC.2016.004

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