A Fully Integrated System‐on‐Chip Design with Scalable Resistive Random‐Access Memory Tile Design for Analog in‐Memory Computing

As the demands of big data applications and deep learning continue to rise, the industry is increasingly looking to artificial intelligence (AI) accelerators. Analog in‐memory computing (AiMC) with emerging nonvolatile devices enable good hardware solutions, due to its high energy efficiency in acce...

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Detalhes bibliográficos

Principais autores:	Fuxi Cai, She-Hwa Yen, Apurva Uppala, Luke Thomas, Tianchi Liu, Peter Fu, Xiaofeng Zhang, Ambrose Low, Deepak Kamalanathan, Joe Hsu, Buvna Ayyagari-Sangamalli
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2022-08-01
coleção:	Advanced Intelligent Systems
Assuntos:	analog in-memory computing one-transistor-one-resistor resistive random-access memory
Acesso em linha:	https://doi.org/10.1002/aisy.202200014
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