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Control Variate Approximation for DNN Accelerators

Control Variate Approximation for DNN Accelerators

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
Title
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
Ayesha Siddique
Khurram Khalil
K. A. Hoque
43
0
0
20 Mar 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
72
1
0
21 Dec 2024
TransAxx: Efficient Transformers with Approximate Computing
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Jörg Henkel
ViT
42
2
0
12 Feb 2024
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision
  Quantization
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
33
10
0
23 Dec 2023
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource
  Constrained Printed Circuits
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
M. Tahoori
J. Henkel
TPM
24
12
0
28 Feb 2023
Low Error-Rate Approximate Multiplier Design for DNNs with
  Hardware-Driven Co-Optimization
Low Error-Rate Approximate Multiplier Design for DNNs with Hardware-Driven Co-Optimization
Yao Lu
Jide Zhang
Su Zheng
Zhen Li
Lingli Wang
MQ
23
2
0
08 Oct 2022
Approximate Computing and the Efficient Machine Learning Expedition
Approximate Computing and the Efficient Machine Learning Expedition
J. Henkel
Hai Helen Li
A. Raghunathan
M. Tahoori
Swagath Venkataramani
Xiaoxuan Yang
Georgios Zervakis
11
17
0
02 Oct 2022
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
13
4
0
25 Jul 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A
  Survey
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
J. Henkel
201
93
0
16 Mar 2022
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch
Dimitrios Danopoulos
Georgios Zervakis
K. Siozios
Dimitrios Soudris
J. Henkel
22
31
0
08 Mar 2022
Positive/Negative Approximate Multipliers for DNN Accelerators
Positive/Negative Approximate Multipliers for DNN Accelerators
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
18
18
0
20 Jul 2021
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