TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML

doi:10.1002/cpe.4989

Title: TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML

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Authors:

^[1]; Smorkalov, Mikhail ^[2]; Mendygral, Peter ^[3]; Sridharan, Srinivas ^[4]; Mathuriya, Amrita ^[5]

National Energy Research Scientific Computing CenterLawrence Berkeley National Laboratory Berkeley California
Software and Services GroupIntel Corporation Moscow Russia
Cray Programming Environments Performance EngineeringCray Inc Bloomington Minnesota
Parallel Computing LabsIntel Corporation Karnataka India
Data Center GroupIntel Corporation Hillsboro Oregon

Publication Date:: 2018-10-21

Sponsoring Org.:: USDOE

OSTI Identifier:: 1479562

Grant/Contract Number:: AC02-05CH11231

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Concurrency and Computation. Practice and Experience

Additional Journal Information:: Journal Name: Concurrency and Computation. Practice and Experience; Journal ID: ISSN 1532-0626

Publisher:: Wiley Blackwell (John Wiley & Sons)

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Kurth, Thorsten, Smorkalov, Mikhail, Mendygral, Peter, Sridharan, Srinivas, and Mathuriya, Amrita. TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML.  United Kingdom: N. p., 2018. 
        Web.  doi:10.1002/cpe.4989.

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                    Kurth, Thorsten, Smorkalov, Mikhail, Mendygral, Peter, Sridharan, Srinivas, & Mathuriya, Amrita. TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML.  United Kingdom.  doi:10.1002/cpe.4989.

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                    Kurth, Thorsten, Smorkalov, Mikhail, Mendygral, Peter, Sridharan, Srinivas, and Mathuriya, Amrita. Sun .  
        "TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML".  United Kingdom.  doi:10.1002/cpe.4989.

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@article{osti_1479562,

  title        = {TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML},

  author       = {Kurth, Thorsten and Smorkalov, Mikhail and Mendygral, Peter and Sridharan, Srinivas and Mathuriya, Amrita},

  abstractNote = {},

  doi          = {10.1002/cpe.4989},

  journal      = {Concurrency and Computation. Practice and Experience},

  number       = ,

  volume       = ,

  place        = {United Kingdom},

  year         = {2018},

  month        = {10}

}

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Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record
DOI: 10.1002/cpe.4989

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