Energy-Efficient Precision-Scaled CNN Implementation With Dynamic Partial Reconfiguration

Energy-Efficient Precision-Scaled CNN Implementation With Dynamic Partial Reconfiguration

A convolutional neural network (CNN) classifies images with high accuracy. However, CNN operation requires a large number of computations which consume a significant amount of power when implemented on hardware. Precision scaling has been recently used to reduce the hardware requirements and power c...

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Bibliographic Details
Main Authors: Eman Youssef, Hamed A. Elsimary, Magdy A. El-Moursy, Hassan Mostafa, Ahmed Khattab
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Approximate computing
convolutional neural network
dynamic partial reconfiguration
energy efficiency
precision scaling
Online Access:https://ieeexplore.ieee.org/document/9878121/

Internet

https://ieeexplore.ieee.org/document/9878121/

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