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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Autores principales: Fasih Ud Din Farrukh, Chun Zhang, Yancao Jiang, Zhonghan Zhang, Ziqiang Wang, Zhihua Wang, Hanjun Jiang
Formato: article
Lenguaje:EN
Publicado: IEEE 2020
Materias:
Convolutional neural network
booth encoding multiplier
WALLACE tree adders
FPGA
adder tree
object detection
Electric apparatus and materials. Electric circuits. Electric networks
TK452-454.4
Acceso en línea:https://doaj.org/article/4399c3d1392f42e6857ae5b3ac56c332
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https://doaj.org/article/4399c3d1392f42e6857ae5b3ac56c332

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