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A Study of BFLOAT16 for Deep Learning Training

A Study of BFLOAT16 for Deep Learning Training

29 May 2019
Dhiraj D. Kalamkar
Dheevatsa Mudigere
Naveen Mellempudi
Dipankar Das
K. Banerjee
Sasikanth Avancha
Dharma Teja Vooturi
Nataraj Jammalamadaka
Jianyu Huang
Hector Yuen
Jiyan Yang
Jongsoo Park
A. Heinecke
E. Georganas
Sudarshan Srinivasan
Abhisek Kundu
M. Smelyanskiy
Bharat Kaul
Pradeep Dubey
    MQ
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Papers citing "A Study of BFLOAT16 for Deep Learning Training"

3 / 53 papers shown
Title
PANTHER: A Programmable Architecture for Neural Network Training
  Harnessing Energy-efficient ReRAM
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
Aayush Ankit
I. E. Hajj
S. R. Chalamalasetti
S. Agarwal
M. Marinella
M. Foltin
J. Strachan
D. Milojicic
Wen-mei W. Hwu
Kaushik Roy
21
65
0
24 Dec 2019
Deep Learning Training on the Edge with Low-Precision Posits
Deep Learning Training on the Edge with Low-Precision Posits
H. F. Langroudi
Zachariah Carmichael
Dhireesha Kudithipudi
MQ
21
14
0
30 Jul 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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