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ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference
9 September 2022
Jing Gong
Hassaan Saadat
Hasindu Gamaarachchi
Haris Javaid
X. Hu
S. Parameswaran
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Papers citing
"ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference"
14 / 14 papers shown
Title
Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
Aikaterini Maria Panteleaki
K. Balaskas
Georgios Zervakis
H. Amrouch
Iraklis Anagnostopoulos
47
1
0
14 Apr 2025
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Jörg Henkel
ViT
103
2
0
12 Feb 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
99
3
0
20 Jul 2023
The Effects of Approximate Multiplication on Convolutional Neural Networks
Min Soo Kim
A. D. Del Barrio
Hyunjin Kim
N. Bagherzadeh
41
47
0
20 Jul 2020
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU
Filip Vaverka
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
56
34
0
21 Feb 2020
Deep Learning Training with Simulated Approximate Multipliers
Issam Hammad
K. El-Sankary
J. Gu
20
9
0
26 Dec 2019
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq
Oleksii Kuchaiev
Boris Ginsburg
Igor Gitman
Vitaly Lavrukhin
Jason Chun Lok Li
Huyen Nguyen
Carl Case
Paulius Micikevicius
VLM
66
49
0
25 May 2018
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?
Ye Qi
Devendra Singh Sachan
Matthieu Felix
Sarguna Padmanabhan
Graham Neubig
102
344
0
17 Apr 2018
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh
Tackgeun You
Jonghwan Mun
Bohyung Han
NoLa
71
200
0
14 Oct 2017
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
180
1,806
0
10 Oct 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
819
132,725
0
12 Jun 2017
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,864
0
01 Oct 2015
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
144
1,849
0
03 Oct 2014
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