SRAM-Based CIM Architecture Design for Event Detection †

Convolutional neural networks (CNNs) play a key role in deep learning applications. However, the high computational complexity and high-energy consumption of CNNs trammel their application in hardware accelerators. Computing-in-memory (CIM) is the technique of running calculations entirely in memory...

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Detalles Bibliográficos
Autores principales: Sulaiman, Muhammad Bintang Gemintang, Lin, Jin-Yu, Li, Jian-Bai, Shih, Cheng-Ming, Juang, Kai-Cheung, Lu, Chih-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610894/
https://www.ncbi.nlm.nih.gov/pubmed/36298205
http://dx.doi.org/10.3390/s22207854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610894/
https://www.ncbi.nlm.nih.gov/pubmed/36298205
http://dx.doi.org/10.3390/s22207854

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