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A GPU-Outperforming FPGA Accelerator Architecture for Binary
  Convolutional Neural Networks
v1v2 (latest)

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

Symposium on Field Programmable Gate Arrays (FPGA), 2017
20 February 2017
Yixing Li
Zichuan Liu
Kai Xu
Hao Yu
Fengbo Ren
    MQ
ArXiv (abs)PDFHTML

Papers citing "A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks"

7 / 7 papers shown
Title
Cost-Driven Hardware-Software Co-Optimization of Machine Learning
  Pipelines
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
Ravit Sharma
W. Romaszkan
Feiqian Zhu
Puneet Gupta
Ankur Mehta
238
0
0
11 Oct 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
236
3
0
15 Jan 2023
Minimal Filtering Algorithms for Convolutional Neural Networks
Minimal Filtering Algorithms for Convolutional Neural NetworksStudies in Computational Intelligence (SCI), 2020
A. Cariow
G. Cariowa
83
4
0
12 Apr 2020
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary
  Convolutional Neural Networks
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural NetworksInternational Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019
Luca Mocerino
A. Calimera
MQ
155
5
0
20 Dec 2019
Unrolling Ternary Neural Networks
Unrolling Ternary Neural NetworksACM Transactions on Reconfigurable Technology and Systems (TRETS), 2019
Stephen Tridgell
M. Kumm
M. Hardieck
David Boland
Duncan J. M. Moss
P. Zipf
Philip H. W. Leong
125
33
0
09 Sep 2019
Towards Fast and Energy-Efficient Binarized Neural Network Inference on
  FPGA
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
Cheng Fu
Shilin Zhu
Hao Su
Ching-En Lee
Jishen Zhao
MQ
163
32
0
04 Oct 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and
  Data Pruning
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Yixing Li
Fengbo Ren
MQ
160
12
0
03 Feb 2018
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