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2002.09481
Cited By
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU
Design, Automation and Test in Europe (DATE), 2020
21 February 2020
Filip Vaverka
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
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Papers citing
"TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU"
14 / 14 papers shown
Gradient Estimation Methods of Approximate Multipliers for High-Accuracy Retraining of Deep Learning Models
Chang Meng
Wayne Burleson
Giovanni De Micheli
171
0
0
03 Sep 2025
Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
IEEE Computer Society Annual Symposium on VLSI (VLSI), 2025
Aikaterini Maria Panteleaki
K. Balaskas
Georgios Zervakis
H. Amrouch
Iraklis Anagnostopoulos
259
1
0
14 Apr 2025
Leveraging Highly Approximated Multipliers in DNN Inference
IEEE Access (IEEE Access), 2024
Georgios Zervakis
Fabio Frustaci
Ourania Spantidi
Iraklis Anagnostopoulos
H. Amrouch
Jörg Henkel
307
1
0
21 Dec 2024
FAMES: Fast Approximate Multiplier Substitution for Mixed-Precision Quantized DNNs--Down to 2 Bits!
Yi Ren
Ruge Xu
Xinfei Guo
Weikang Qian
MQ
463
1
0
27 Nov 2024
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Jörg Henkel
ViT
355
6
0
12 Feb 2024
ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Jing Gong
Hassaan Saadat
Hasindu Gamaarachchi
Haris Javaid
X. Hu
S. Parameswaran
314
23
0
09 Sep 2022
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks
E. Trommer
Bernd Waschneck
Akash Kumar
204
9
0
15 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
169
2
0
31 Jul 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
J. Henkel
579
136
0
16 Mar 2022
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Dimitrios Danopoulos
Georgios Zervakis
K. Siozios
Dimitrios Soudris
J. Henkel
343
44
0
08 Mar 2022
HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks
International Symposium on Circuits and Systems (ISCAS), 2022
Su Zheng
Zhen Li
Yao Lu
Jingbo Gao
Jide Zhang
Lingli Wang
169
7
0
20 Jan 2022
Positive/Negative Approximate Multipliers for DNN Accelerators
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
146
24
0
20 Jul 2021
Control Variate Approximation for DNN Accelerators
Design Automation Conference (DAC), 2021
Georgios Zervakis
Ourania Spantidi
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
BDL
148
27
0
18 Feb 2021
Evolutionary Neural Architecture Search Supporting Approximate Multipliers
European Conference on Genetic Programming (EuroGP), 2021
Michal Pinos
Vojtěch Mrázek
Lukás Sekanina
199
12
0
28 Jan 2021
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