Area-Efficient Mapping of Convolutional Neural Networks to Memristor Crossbars Using Sub-Image Partitioning

Area-Efficient Mapping of Convolutional Neural Networks to Memristor Crossbars Using Sub-Image Partitioning

Memristor crossbars can be very useful for realizing edge-intelligence hardware, because the neural networks implemented by memristor crossbars can save significantly more computing energy and layout area than the conventional CMOS (complementary metal–oxide–semiconductor) digital circuits. One of t...

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Bibliographic Details
Main Authors:	Seokjin Oh, Jiyong An, Kyeong-Sik Min
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Micromachines
Subjects:	area-efficient mapping convolutional neural networks memristor crossbars sub-image partitioning
Online Access:	https://www.mdpi.com/2072-666X/14/2/309

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