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TicTac: Accelerating Distributed Deep Learning with Communication Scheduling
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TicTac: Accelerating Distributed Deep Learning with Communication Scheduling

Sayed Hadi Hashemi
Sangeetha Abdu Jyothi
R. Campbell
ArXiv (abs)PDFHTML

Papers citing "TicTac: Accelerating Distributed Deep Learning with Communication Scheduling"

4 / 54 papers shown
Title
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Mengdi Wang
Chen Meng
Guoping Long
Chuan Wu
Jun Yang
Wei Lin
Yangqing Jia
68
56
0
14 Oct 2019
Taming Momentum in a Distributed Asynchronous Environment
Taming Momentum in a Distributed Asynchronous Environment
Ido Hakimi
Saar Barkai
Moshe Gabel
Assaf Schuster
93
23
0
26 Jul 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
R. Mayer
Hans-Arno Jacobsen
GNN
81
192
0
27 Mar 2019
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Peng Sun
Wansen Feng
Ruobing Han
Shengen Yan
Yonggang Wen
AI4CE
100
70
0
19 Feb 2019