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Towards a Uniform Architecture for the Efficient Implementation of 2D
  and 3D Deconvolutional Neural Networks on FPGAs

Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs

International Symposium on Circuits and Systems (ISCAS), 2019
6 March 2019
Deguang Wang
Junzhong Shen
M. Wen
Chunyuan Zhang
ArXiv (abs)PDFHTML

Papers citing "Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs"

1 / 1 papers shown
Title
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration
  in Resource-Limited Edge Computing Applications?
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?
Ian Colbert
Jake Daly
Ken Kreutz-Delgado
Srinjoy Das
120
15
0
30 Jan 2021
1