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TFApprox: Towards a Fast Emulation of DNN Approximate Hardware
  Accelerators on GPU

TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU

21 February 2020
Filip Vaverka
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
ArXivPDFHTML

Papers citing "TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU"

6 / 6 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
27
0
0
14 Apr 2025
TransAxx: Efficient Transformers with Approximate Computing
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Jörg Henkel
ViT
59
2
0
12 Feb 2024
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network
  Accelerators without Retraining
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
Muhammad Abdullah Hanif
Mohamed Bennai
21
93
0
11 Jun 2019
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
112
3,090
0
15 Dec 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
155
4,619
0
16 Apr 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
1