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FPGA-based Accelerators of Deep Learning Networks for Learning and
  Classification: A Review

FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review

1 January 2019
Ahmad Shawahna
S. M. Sait
A. El-Maleh
ArXivPDFHTML

Papers citing "FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review"

39 / 39 papers shown
Title
Event-based vision on FPGAs -- a survey
Event-based vision on FPGAs -- a survey
Tomasz Kryjak
47
3
0
11 Jul 2024
Deep Learning Classification of Photoplethysmogram Signal for
  Hypertension Levels
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
N. Nasir
Mustafa Sameer
F. Barneih
O. Alshaltone
Muneeb Ahmed
22
1
0
23 May 2024
When Side-Channel Attacks Break the Black-Box Property of Embedded
  Artificial Intelligence
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
58
2
0
23 Nov 2023
Neural Network Methods for Radiation Detectors and Imaging
Neural Network Methods for Radiation Detectors and Imaging
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
32
5
0
09 Nov 2023
Systematic AI Approach for AGI: Addressing Alignment, Energy, and AGI
  Grand Challenges
Systematic AI Approach for AGI: Addressing Alignment, Energy, and AGI Grand Challenges
Eren Kurshan
23
0
0
23 Oct 2023
A Machine Learning-oriented Survey on Tiny Machine Learning
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDa
MU
32
33
0
21 Sep 2023
Performance of Graph Neural Networks for Point Cloud Applications
Performance of Graph Neural Networks for Point Cloud Applications
Dhruv Parikh
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN
3DPC
32
1
0
17 Sep 2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG
  Signals: A Comprehensive Review from 2002-2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
M. Jafari
Delaram Sadeghi
A. Shoeibi
Hamid Alinejad-Rokny
Amin Beheshti
David López-García
Zhaolin Chen
U. Acharya
Juan M Gorriz
23
20
0
14 Sep 2023
On-Chip Hardware-Aware Quantization for Mixed Precision Neural Networks
On-Chip Hardware-Aware Quantization for Mixed Precision Neural Networks
Wei Huang
Haotong Qin
Yangdong Liu
Jingzhuo Liang
Yifu Ding
Ying Li
Xianglong Liu
MQ
26
0
0
05 Sep 2023
Optimization of FPGA-based CNN Accelerators Using Metaheuristics
Optimization of FPGA-based CNN Accelerators Using Metaheuristics
S. M. Sait
A. El-Maleh
Mohammad Altakrouri
Ahmad Shawahna
24
7
0
22 Sep 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
H. Borras
G. D. Guglielmo
Javier Mauricio Duarte
Nicolò Ghielmetti
B. Hawks
...
Nhan Tran
Yaman Umuroglu
Olivia Weng
Aidan Yokuda
Michaela Blott
VLM
MQ
32
14
0
23 Jun 2022
Reliability Assessment of Neural Networks in GPUs: A Framework For
  Permanent Faults Injections
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections
Juan-David Guerrero-Balaguera
L. Galasso
Robert Limas Sierra
M. Reorda
16
9
0
24 May 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations,
  and Challenges
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
S. Thais
P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
D. Murnane
Mark S. Neubauer
K. Terao
PINN
AI4CE
34
30
0
23 Mar 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed
  Low-Precision DNNs with Dynamic Fixed-Point Representation
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
Ahmad Shawahna
S. M. Sait
A. El-Maleh
Irfan Ahmad
MQ
20
6
0
22 Mar 2022
Towards Enabling Dynamic Convolution Neural Network Inference for Edge
  Intelligence
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
Adewale Adeyemo
Travis Sandefur
Tolulope A. Odetola
S. R. Hasan
16
4
0
18 Feb 2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine
  Learning (tinyML) Acceleration on FPGAs
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
Shvetank Prakash
Tim Callahan
Joseph R. Bushagour
Colby R. Banbury
Alan V. Green
Pete Warden
Tim Ansell
Vijay Janapa Reddi
38
30
0
05 Jan 2022
A Deep Learning Inference Scheme Based on Pipelined Matrix
  Multiplication Acceleration Design and Non-uniform Quantization
A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization
Yuyang Zhang
Dik Hin Leung
Min Guo
Yijia Xiao
Haoyue Liu
Yunfei Li
Jiyuan Zhang
Guan Wang
Zhen Chen
11
2
0
10 Oct 2021
Deep Learning on Edge TPUs
Deep Learning on Edge TPUs
A. Kist
Andreas M Kist
38
17
0
31 Aug 2021
REX: Revisiting Budgeted Training with an Improved Schedule
REX: Revisiting Budgeted Training with an Improved Schedule
John Chen
Cameron R. Wolfe
Anastasios Kyrillidis
9
8
0
09 Jul 2021
TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network
  Applications by ESP32 SoC
TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC
Md Ziaul Haque Zim
19
14
0
20 Jun 2021
Learning on Hardware: A Tutorial on Neural Network Accelerators and
  Co-Processors
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors
Lukas Baischer
M. Wess
N. Taherinejad
20
12
0
19 Apr 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
25
46
0
30 Mar 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
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms
Max Sponner
Bernd Waschneck
Akash Kumar
MQ
12
5
0
08 Mar 2021
ShEF: Shielded Enclaves for Cloud FPGAs
ShEF: Shielded Enclaves for Cloud FPGAs
Mark Zhao
Mingyu Gao
Christos Kozyrakis
25
54
0
05 Mar 2021
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural
  Networks to Analyze Parkinsonian Gait
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian Gait
M. Ahamed
P. Gunawardane
Nimali T. Medagedara
11
0
0
01 Feb 2021
Modern Machine and Deep Learning Systems as a way to achieve
  Man-Computer Symbiosis
Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis
Chirag Gupta
26
0
0
24 Jan 2021
Fast convolutional neural networks on FPGAs with hls4ml
Fast convolutional neural networks on FPGAs with hls4ml
T. Aarrestad
Vladimir Loncar
Nicolò Ghielmetti
M. Pierini
S. Summers
...
N. Tran
Miaoyuan Liu
E. Kreinar
Zhenbin Wu
Duc Hoang
21
107
0
13 Jan 2021
Machine learning approach for biopsy-based identification of
  eosinophilic esophagitis reveals importance of global features
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
Tomer Czyzewski
Nati Daniel
M. Rochman
J. Caldwell
Garrett A. Osswald
M. Collins
M. Rothenberg
Y. Savir
19
22
0
13 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
24
115
0
02 Jan 2021
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
59
81
0
02 Jul 2020
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
A scalable and efficient convolutional neural network accelerator using
  HLS for a System on Chip design
A scalable and efficient convolutional neural network accelerator using HLS for a System on Chip design
K. Bjerge
J. Schougaard
Daniel Ejnar Larsen
13
1
0
27 Apr 2020
Minimal Filtering Algorithms for Convolutional Neural Networks
Minimal Filtering Algorithms for Convolutional Neural Networks
A. Cariow
G. Cariowa
6
4
0
12 Apr 2020
Accelerated Analog Neuromorphic Computing
Accelerated Analog Neuromorphic Computing
Johannes Schemmel
Sebastian Billaudelle
Philipp Dauer
Johannes Weis
19
46
0
26 Mar 2020
Taurus: A Data Plane Architecture for Per-Packet ML
Taurus: A Data Plane Architecture for Per-Packet ML
Tushar Swamy
Alexander Rucker
M. Shahbaz
Ishan Gaur
K. Olukotun
21
82
0
12 Feb 2020
On the Resilience of Deep Learning for Reduced-voltage FPGAs
On the Resilience of Deep Learning for Reduced-voltage FPGAs
Kamyar Givaki
Behzad Salami
Reza Hojabr
S. M. R. Tayaranian
A. Khonsari
Dara Rahmati
Saeid Gorgin
A. Cristal
O. Unsal
13
14
0
26 Dec 2019
Convolutional Neural Networks for Speech Controlled Prosthetic Hands
Convolutional Neural Networks for Speech Controlled Prosthetic Hands
Yichao Fu
Runlong Su
BDL
14
5
0
03 Oct 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1