Power Efficient Tiny Yolo CNN Using Reduced Hardware Resources Based on Booth Multiplier and WALLACE Tree Adders

Power Efficient Tiny Yolo CNN Using Reduced Hardware Resources Based on Booth Multiplier and WALLACE Tree Adders

Convolutional Neural Network (CNN) has attained high accuracy and it has been widely employed in image recognition tasks. In recent times, deep learning-based modern applications are evolving and it poses a challenge in research and development of hardware implementation. Therefore, hardware optimiz...

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Bibliographic Details
Main Authors: Fasih Ud Din Farrukh, Chun Zhang, Yancao Jiang, Zhonghan Zhang, Ziqiang Wang, Zhihua Wang, Hanjun Jiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Convolutional neural network
booth encoding multiplier
WALLACE tree adders
FPGA
adder tree
object detection
Online Access:https://ieeexplore.ieee.org/document/9134378/

Internet

https://ieeexplore.ieee.org/document/9134378/

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