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Deep Learning on FPGAs: Past, Present, and Future

Deep Learning on FPGAs: Past, Present, and Future

13 February 2016
Griffin Lacey
Graham W. Taylor
S. Areibi
    GNN
ArXivPDFHTML

Papers citing "Deep Learning on FPGAs: Past, Present, and Future"

17 / 17 papers shown
Title
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA
  Implementation
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
Odrika Iqbal
Victor Isaac Torres Muro
Sameeksha Katoch
A. Spanias
Suren Jayasuriya
29
12
0
17 Dec 2021
A Survey on Impact of Transient Faults on BNN Inference Accelerators
A Survey on Impact of Transient Faults on BNN Inference Accelerators
N. Khoshavi
Connor Broyles
Yu Bi
27
8
0
10 Apr 2020
PoET-BiN: Power Efficient Tiny Binary Neurons
PoET-BiN: Power Efficient Tiny Binary Neurons
S. Chidambaram
P. Langlois
J. David
MQ
20
4
0
23 Feb 2020
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping
  of Deep Learning Architecture (DLA) onto FPGA Boards
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
Tolulope A. Odetola
Katie M. Groves
S. R. Hasan
29
5
0
14 Nov 2019
Big Data Analytics for Large Scale Wireless Networks: Challenges and
  Opportunities
Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities
Hongning Dai
Raymond Chi-Wing Wong
Hao Wang
Zibin Zheng
A. Vasilakos
AI4CE
GNN
16
65
0
02 Sep 2019
Database Meets Deep Learning: Challenges and Opportunities
Database Meets Deep Learning: Challenges and Opportunities
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Beng Chin Ooi
K. Tan
13
147
0
21 Jun 2019
Progressive Stochastic Binarization of Deep Networks
Progressive Stochastic Binarization of Deep Networks
David Hartmann
Michael Wand
MQ
17
1
0
03 Apr 2019
Deep Learning on Mobile Devices - A Review
Deep Learning on Mobile Devices - A Review
Yunbin Deng
11
120
0
21 Mar 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
65
2,271
0
17 Jan 2019
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
Ahmad Shawahna
S. M. Sait
A. El-Maleh
28
372
0
01 Jan 2019
Accelerating CNN inference on FPGAs: A Survey
Accelerating CNN inference on FPGAs: A Survey
K. Abdelouahab
Maxime Pelcat
Jocelyn Serot
F. Berry
AI4CE
30
147
0
26 May 2018
Transformations of High-Level Synthesis Codes for High-Performance
  Computing
Transformations of High-Level Synthesis Codes for High-Performance Computing
Johannes de Fine Licht
Maciej Besta
Simon Meierhans
Torsten Hoefler
10
90
0
21 May 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
703
0
26 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on
  Large In-Memory Datasets
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
31
70
0
19 Feb 2018
Brain Intelligence: Go Beyond Artificial Intelligence
Brain Intelligence: Go Beyond Artificial Intelligence
Huimin Lu
Yujie Li
Min Chen
Hyoungseop Kim
S. Serikawa
26
949
0
04 Jun 2017
A Holistic Approach for Optimizing DSP Block Utilization of a CNN
  implementation on FPGA
A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA
K. Abdelouahab
C. Bourrasset
Maxime Pelcat
F. Berry
J. Quinton
Jocelyn Serot
21
21
0
21 Mar 2017
Deep Embedding Forest: Forest-based Serving with Deep Embedding Features
Deep Embedding Forest: Forest-based Serving with Deep Embedding Features
Jiehan Zhu
Ying Shan
JC Mao
Dong Yu
Holakou Rahmanian
Yi Zhang
14
52
0
15 Mar 2017
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