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Positive/Negative Approximate Multipliers for DNN Accelerators

Positive/Negative Approximate Multipliers for DNN Accelerators

20 July 2021
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
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Papers citing "Positive/Negative Approximate Multipliers for DNN Accelerators"

5 / 5 papers shown
Title
Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
Aikaterini Maria Panteleaki
K. Balaskas
Georgios Zervakis
H. Amrouch
Iraklis Anagnostopoulos
22
0
0
14 Apr 2025
Leveraging Highly Approximated Multipliers in DNN Inference
Leveraging Highly Approximated Multipliers in DNN Inference
Georgios Zervakis
Fabio Frustaci
Ourania Spantidi
Iraklis Anagnostopoulos
H. Amrouch
Jörg Henkel
79
1
0
21 Dec 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Muhammad Shafique
K. Pekmestzi
Dimitrios Soudris
37
3
0
20 Jul 2023
Energy-efficient DNN Inference on Approximate Accelerators Through
  Formal Property Exploration
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
J. Henkel
15
4
0
25 Jul 2022
Is Approximation Universally Defensive Against Adversarial Attacks in
  Deep Neural Networks?
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?
Ayesha Siddique
K. A. Hoque
AAML
26
6
0
02 Dec 2021
1