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MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for
  scaling Deep Learning

MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning

11 January 2018
Amith R. Mamidala
Georgios Kollias
C. Ward
F. Artico
ArXivPDFHTML

Papers citing "MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning"

5 / 5 papers shown
Title
HeterPS: Distributed Deep Learning With Reinforcement Learning Based
  Scheduling in Heterogeneous Environments
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Ji Liu
Zhihua Wu
Dianhai Yu
Yanjun Ma
Danlei Feng
Minxu Zhang
Xinxuan Wu
Xuefeng Yao
Dejing Dou
18
44
0
20 Nov 2021
Towards a Scalable and Distributed Infrastructure for Deep Learning
  Applications
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
Bita Hasheminezhad
S. Shirzad
Nanmiao Wu
Patrick Diehl
Hannes Schulz
Hartmut Kaiser
GNN
AI4CE
27
4
0
06 Oct 2020
Communication optimization strategies for distributed deep neural
  network training: A survey
Communication optimization strategies for distributed deep neural network training: A survey
Shuo Ouyang
Dezun Dong
Yemao Xu
Liquan Xiao
30
12
0
06 Mar 2020
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks
Soojeong Kim
Gyeong-In Yu
Hojin Park
Sungwoo Cho
Eunji Jeong
Hyeonmin Ha
Sanha Lee
Joo Seong Jeong
Byung-Gon Chun
23
73
0
08 Aug 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
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