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1803.03383
Cited By
High-Accuracy Low-Precision Training
9 March 2018
Christopher De Sa
Megan Leszczynski
Jian Zhang
Alana Marzoev
Christopher R. Aberger
K. Olukotun
Christopher Ré
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Papers citing
"High-Accuracy Low-Precision Training"
25 / 25 papers shown
Title
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
40
0
0
25 May 2024
MCTensor: A High-Precision Deep Learning Library with Multi-Component Floating-Point
Tao Yu
Wen-Ping Guo
Jianan Canal Li
Tiancheng Yuan
Chris De Sa
30
4
0
18 Jul 2022
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
Chen Dun
Cameron R. Wolfe
C. Jermaine
Anastasios Kyrillidis
24
21
0
02 Jul 2021
LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Jiawei Zhao
Steve Dai
Rangharajan Venkatesan
Brian Zimmer
Mustafa Ali
Xuan Li
Brucek Khailany
B. Dally
Anima Anandkumar
MQ
39
13
0
26 Jun 2021
How Low Can We Go: Trading Memory for Error in Low-Precision Training
Chengrun Yang
Ziyang Wu
Jerry Chee
Christopher De Sa
Madeleine Udell
18
2
0
17 Jun 2021
Mixed-Precision Embedding Using a Cache
J. Yang
Jianyu Huang
Jongsoo Park
P. T. P. Tang
Andrew Tulloch
27
36
0
21 Oct 2020
FPRaker: A Processing Element For Accelerating Neural Network Training
Omar Mohamed Awad
Mostafa Mahmoud
Isak Edo Vivancos
Ali Hadi Zadeh
Ciaran Bannon
Anand Jayarajan
Gennady Pekhimenko
Andreas Moshovos
28
15
0
15 Oct 2020
Estimating Principal Components under Adversarial Perturbations
Pranjal Awasthi
Xue Chen
Aravindan Vijayaraghavan
AAML
17
2
0
31 May 2020
Taurus: A Data Plane Architecture for Per-Packet ML
Tushar Swamy
Alexander Rucker
M. Shahbaz
Ishan Gaur
K. Olukotun
23
82
0
12 Feb 2020
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
34
73
0
07 Jan 2020
Distributed Low Precision Training Without Mixed Precision
Zehua Cheng
Weiyan Wang
Yan Pan
Thomas Lukasiewicz
MQ
18
5
0
18 Nov 2019
Post-Training 4-bit Quantization on Embedding Tables
Hui Guan
Andrey Malevich
Jiyan Yang
Jongsoo Park
Hector Yuen
MQ
19
32
0
05 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
Skanda Koppula
Lois Orosa
A. G. Yaglikçi
Roknoddin Azizi
Taha Shahroodi
Konstantinos Kanellopoulos
O. Mutlu
27
105
0
12 Oct 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal
Ali Shahin Shamsabadi
Matt J. Kusner
Adria Gascon
30
212
0
08 Jul 2019
Mixed Precision Training With 8-bit Floating Point
Naveen Mellempudi
Sudarshan Srinivasan
Dipankar Das
Bharat Kaul
MQ
18
69
0
29 May 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training
Guandao Yang
Tianyi Zhang
Polina Kirichenko
Junwen Bai
A. Wilson
Christopher De Sa
24
94
0
26 Apr 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)
Zeke Wang
Kaan Kara
Hantian Zhang
Gustavo Alonso
O. Mutlu
Ce Zhang
31
34
0
08 Mar 2019
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
Sindri Magnússon
H. S. Ghadikolaei
Na Li
27
81
0
26 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers
P. Buchlovsky
David Budden
Dominik Grewe
Chris Jones
John Aslanides
...
Aidan Clark
Sergio Gomez Colmenarejo
Aedan Pope
Fabio Viola
Dan Belov
GNN
OffRL
AI4CE
37
20
0
01 Feb 2019
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
23
518
0
07 Dec 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
13
117
0
04 Jun 2018
Scaling Neural Machine Translation
Myle Ott
Sergey Edunov
David Grangier
Michael Auli
AIMat
71
610
0
01 Jun 2018
Double Quantization for Communication-Efficient Distributed Optimization
Yue Yu
Jiaxiang Wu
Longbo Huang
MQ
19
57
0
25 May 2018
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park
S. Yoo
Peter Vajda
MQ
14
158
0
20 Apr 2018
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