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Accelerating CNN inference on FPGAs: A Survey

Accelerating CNN inference on FPGAs: A Survey

26 May 2018
K. Abdelouahab
Maxime Pelcat
Jocelyn Serot
F. Berry
    AI4CE
ArXivPDFHTML

Papers citing "Accelerating CNN inference on FPGAs: A Survey"

8 / 8 papers shown
Title
Exploration of Activation Fault Reliability in Quantized Systolic
  Array-Based DNN Accelerators
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Mahdi Taheri
N. Cherezova
M. S. Ansari
M. Jenihhin
A. Mahani
Masoud Daneshtalab
J. Raik
26
12
0
17 Jan 2024
Accelerating CNN inference on long vector architectures via co-design
Accelerating CNN inference on long vector architectures via co-design
Sonia Rani Gupta
Nikela Papadopoulou
Miquel Pericàs
3DV
11
4
0
22 Dec 2022
Robotic Computing on FPGAs: Current Progress, Research Challenges, and
  Opportunities
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
Zishen Wan
A. Lele
Bo Yu
Shaoshan Liu
Yu Wang
Vijay Janapa Reddi
Cong Hao
A. Raychowdhury
34
13
0
14 May 2022
Efficient Memory Partitioning in Software Defined Hardware
Efficient Memory Partitioning in Software Defined Hardware
Matthew Feldman
Tian Zhao
K. Olukotun
12
1
0
02 Feb 2022
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
M. M. Real
Ruben Salvador
AAML
23
30
0
21 Oct 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power
  Machine Learning Devices
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
F. Fahim
B. Hawks
C. Herwig
J. Hirschauer
S. Jindariani
...
J. Ngadiuba
Miaoyuan Liu
Duc Hoang
E. Kreinar
Zhenbin Wu
27
129
0
09 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
674
0
24 Jan 2021
Automatic heterogeneous quantization of deep neural networks for
  low-latency inference on the edge for particle detectors
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
C. Coelho
Aki Kuusela
Shane Li
Zhuang Hao
T. Aarrestad
Vladimir Loncar
J. Ngadiuba
M. Pierini
Adrian Alan Pol
S. Summers
MQ
32
175
0
15 Jun 2020
1