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

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5]
  1. National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley California
  2. Software and Services Group, Intel Corporation, Moscow Russia
  3. Cray Programming Environments Performance Engineering, Cray Inc, Bloomington Minnesota
  4. Parallel Computing Labs, Intel Corporation, Karnataka India
  5. Data Center Group, Intel Corporation, Hillsboro Oregon
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1479562
Grant/Contract Number:  
AC02-05CH11231; AC02-06CH11357
Resource Type:
Journal Article: 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: TensorFlow at Scale. United Kingdom: N. p., 2018. Web. doi:10.1002/cpe.4989.
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: TensorFlow at Scale. United Kingdom. doi:10.1002/cpe.4989.
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: TensorFlow at Scale". United Kingdom. doi:10.1002/cpe.4989.
@article{osti_1479562,
title = {TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML: TensorFlow at Scale},
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},
issn = {1532-0626},
number = ,
volume = ,
place = {United Kingdom},
year = {2018},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on October 21, 2019
Publisher's Accepted Manuscript

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