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2102.09642
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Control Variate Approximation for DNN Accelerators
Design Automation Conference (DAC), 2021
18 February 2021
Georgios Zervakis
Ourania Spantidi
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
BDL
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Papers citing
"Control Variate Approximation for DNN Accelerators"
11 / 11 papers shown
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
IEEE International Symposium on Quality Electronic Design (ISQED), 2025
Ayesha Siddique
Khurram Khalil
K. A. Hoque
212
1
0
20 Mar 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
321
1
0
21 Dec 2024
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Jörg Henkel
ViT
385
7
0
12 Feb 2024
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
K. Balaskas
Andreas Karatzas
Christos Sad
K. Siozios
Iraklis Anagnostopoulos
Georgios Zervakis
Jörg Henkel
MQ
249
29
0
23 Dec 2023
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits
IEEE transactions on computers (IEEE Trans. Comput.), 2023
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
M. Tahoori
J. Henkel
TPM
204
21
0
28 Feb 2023
Low Error-Rate Approximate Multiplier Design for DNNs with Hardware-Driven Co-Optimization
International Symposium on Circuits and Systems (ISCAS), 2022
Yao Lu
Jide Zhang
Su Zheng
Zhen Li
Lingli Wang
MQ
85
4
0
08 Oct 2022
Approximate Computing and the Efficient Machine Learning Expedition
J. Henkel
Hai Helen Li
A. Raghunathan
M. Tahoori
Swagath Venkataramani
Xiaoxuan Yang
Georgios Zervakis
276
24
0
02 Oct 2022
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
J. Henkel
169
7
0
25 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
589
138
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
369
44
0
08 Mar 2022
Positive/Negative Approximate Multipliers for DNN Accelerators
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
159
24
0
20 Jul 2021
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