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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Detalles Bibliográficos
Autores principales: Oh, Seokjin, An, Jiyong, Min, Kyeong-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959389/
https://www.ncbi.nlm.nih.gov/pubmed/36838009
http://dx.doi.org/10.3390/mi14020309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959389/
https://www.ncbi.nlm.nih.gov/pubmed/36838009
http://dx.doi.org/10.3390/mi14020309

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