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Binary Complex Neural Network Acceleration on FPGA

Binary Complex Neural Network Acceleration on FPGA

10 August 2021
Hongwu Peng
Shangli Zhou
Scott Weitze
Jiaxin Li
Sahidul Islam
Tong Geng
Ang Li
Wei Zhang
M. Song
Mimi Xie
Hang Liu
Caiwen Ding
    MQ
ArXiv (abs)PDFHTML

Papers citing "Binary Complex Neural Network Acceleration on FPGA"

14 / 14 papers shown
Title
BCNN: Binary Complex Neural Network
BCNN: Binary Complex Neural Network
Yanfei Li
Tong Geng
Ang Li
Huimin Yu
MQ
46
8
0
28 Mar 2021
Efficient Transformer-based Large Scale Language Representations using
  Hardware-friendly Block Structured Pruning
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
Bingbing Li
Zhenglun Kong
Tianyun Zhang
Ji Li
Zechao Li
Hang Liu
Caiwen Ding
VLM
138
65
0
17 Sep 2020
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
Bingbing Li
Santosh Pandey
Haowen Fang
Yanjun Lyv
Ji Li
Jieyang Chen
Mimi Xie
Lipeng Wan
Hang Liu
Caiwen Ding
AI4CE
63
179
0
16 Jul 2020
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object
  Detection on FPGAs
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs
Caiwen Ding
Shuo Wang
Ning Liu
Kaidi Xu
Yanzhi Wang
Yun Liang
MQ
41
90
0
29 Sep 2019
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight
  Pruning and Quantization Using ADMM
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
Geng Yuan
Xiaolong Ma
Caiwen Ding
Sheng Lin
Tianyun Zhang
Zeinab S. Jalali
Yilong Zhao
Li Jiang
S. Soundarajan
Yanzhi Wang
MQ
37
47
0
29 Aug 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,114
0
11 Oct 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction
  Method of Multipliers
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
62
438
0
10 Apr 2018
CirCNN: Accelerating and Compressing Deep Neural Networks Using
  Block-CirculantWeight Matrices
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Caiwen Ding
Siyu Liao
Yanzhi Wang
Zhe Li
Ning Liu
...
Yipeng Zhang
Jian Tang
Qinru Qiu
Xinyu Lin
Bo Yuan
GNN
55
260
0
29 Aug 2017
The High-Dimensional Geometry of Binary Neural Networks
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson
C. P. Berg
MQ
62
76
0
19 May 2017
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
93
1,166
0
21 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
209
2,990
0
02 Nov 2015
Neural Networks with Few Multiplications
Neural Networks with Few Multiplications
Zhouhan Lin
Matthieu Courbariaux
Roland Memisevic
Yoshua Bengio
87
331
0
11 Oct 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
52
328
0
11 Jun 2015
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
294
6,283
0
16 Dec 2013
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