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FPGA-based Acceleration for Convolutional Neural Networks: A Comprehensive Review

FPGA-based Acceleration for Convolutional Neural Networks: A Comprehensive Review

4 May 2025
Junye Jiang
Yaan Zhou
Yuanhao Gong
Haoxuan Yuan
Shuanglong Liu
ArXivPDFHTML

Papers citing "FPGA-based Acceleration for Convolutional Neural Networks: A Comprehensive Review"

36 / 36 papers shown
Title
Logit Standardization in Knowledge Distillation
Logit Standardization in Knowledge Distillation
Shangquan Sun
Wenqi Ren
Jingzhi Li
Rui Wang
Xiaochun Cao
70
62
0
03 Mar 2024
Data Pruning via Moving-one-Sample-out
Data Pruning via Moving-one-Sample-out
Haoru Tan
Sitong Wu
Fei Du
Yukang Chen
Zhibin Wang
Fan Wang
Xiaojuan Qi
71
36
0
23 Oct 2023
Comparative Analysis of CPU and GPU Profiling for Deep Learning Models
Comparative Analysis of CPU and GPU Profiling for Deep Learning Models
Dipesh Gyawali
15
7
0
05 Sep 2023
RepViT: Revisiting Mobile CNN From ViT Perspective
RepViT: Revisiting Mobile CNN From ViT Perspective
Ao Wang
Hui Chen
Zijia Lin
Hengjun Pu
Guiguang Ding
43
188
0
18 Jul 2023
A Brief Review of Hypernetworks in Deep Learning
A Brief Review of Hypernetworks in Deep Learning
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
72
101
0
12 Jun 2023
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for
  HAR onto FPGAs
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs
Petros Toupas
C. Bouganis
Dimitrios Tzovaras
35
3
0
31 May 2023
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action
  Recognition
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition
Petros Toupas
C. Bouganis
Dimitrios Tzovaras
42
4
0
29 May 2023
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on
  FPGA Devices
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
Petros Toupas
Alexander Montgomerie-Corcoran
C. Bouganis
Dimitrios Tzovaras
30
9
0
30 Mar 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen
Shiu-hong Kao
Hao He
Weipeng Zhuo
Song Wen
Chul-Ho Lee
Shueng-Han Gary Chan
OOD
54
816
0
07 Mar 2023
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Qing Jin
Jian Ren
Richard Zhuang
Sumant Hanumante
Zhengang Li
Zhiyu Chen
Yanzhi Wang
Kai-Min Yang
Sergey Tulyakov
MQ
63
50
0
10 Feb 2022
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous
  Edge-Centric GNNs
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs
Zhe Lin
Zike Yuan
Jieru Zhao
Wei Zhang
Hui Wang
Yonghong Tian
22
19
0
25 Jan 2022
Densely Guided Knowledge Distillation using Multiple Teacher Assistants
Densely Guided Knowledge Distillation using Multiple Teacher Assistants
Wonchul Son
Jaemin Na
Junyong Choi
Wonjun Hwang
42
112
0
18 Sep 2020
Image classification in frequency domain with 2SReLU: a second harmonics
  superposition activation function
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function
Thomio Watanabe
D. Wolf
29
22
0
18 Jun 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
52
719
0
24 Feb 2020
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Seul-Ki Yeom
P. Seegerer
Sebastian Lapuschkin
Alexander Binder
Simon Wiedemann
K. Müller
Wojciech Samek
CVBM
41
203
0
18 Dec 2019
GhostNet: More Features from Cheap Operations
GhostNet: More Features from Cheap Operations
Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
85
2,624
0
27 Nov 2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and
  Resource Usage of a High-Level Synthesis Design
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design
Hosein Mohammadi Makrani
Farnoud Farahmand
Hossein Sayadi
Sara Bondi
Sai Manoj P D
Liang Zhao
Avesta Sasan
Houman Homayoun
S. Rafatirad
11
71
0
29 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for
  Ultra-High Compression Rates
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu
Xiaolong Ma
Zhiyuan Xu
Yanzhi Wang
Jian Tang
Jieping Ye
57
185
0
06 Jul 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
265
6,685
0
06 May 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point
  Inference of Deep Neural Networks
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain
Albert Gural
Michael Wu
Chris Dick
MQ
58
151
0
19 Mar 2019
Software-defined Design Space Exploration for an Efficient DNN
  Accelerator Architecture
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Y. Yu
Yingmin Li
Shuai Che
N. Jha
Weifeng Zhang
40
22
0
18 Mar 2019
Morph: Flexible Acceleration for 3D CNN-based Video Understanding
Morph: Flexible Acceleration for 3D CNN-based Video Understanding
Kartik Hegde
R. Agrawal
Yulun Yao
Christopher W. Fletcher
40
71
0
16 Oct 2018
Recent Advances in Convolutional Neural Network Acceleration
Recent Advances in Convolutional Neural Network Acceleration
Qianru Zhang
Meng Zhang
Tinghuan Chen
Zhifei Sun
Yuzhe Ma
Bei Yu
47
348
0
23 Jul 2018
f-CNN$^{\text{x}}$: A Toolflow for Mapping Multi-CNN Applications on
  FPGAs
f-CNNx^{\text{x}}x: A Toolflow for Mapping Multi-CNN Applications on FPGAs
Stylianos I. Venieris
C. Bouganis
36
25
0
25 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
129
19,124
0
13 Jan 2018
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
96
2,407
0
22 Aug 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.0K
20,747
0
17 Apr 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
131
4,342
0
16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
114
7,448
0
24 Feb 2016
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
71
814
0
19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
194
8,793
0
01 Oct 2015
Fast Algorithms for Convolutional Neural Networks
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
43
876
0
30 Sep 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
38
328
0
11 Jun 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjD
SSeg
64
736
0
07 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
236
19,523
0
09 Mar 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
299
43,511
0
17 Sep 2014
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