An in-memory computing architecture based on two-dimensional semiconductors for multiply-accumulate operations

In-memory computing may enable multiply-accumulate (MAC) operations, which are the primary calculations used in artificial intelligence (AI). Performing MAC operations with high capacity in a small area with high energy efficiency remains a challenge. In this work, we propose a circuit architecture...

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Detalles Bibliográficos
Autores principales: Wang, Yin, Tang, Hongwei, Xie, Yufeng, Chen, Xinyu, Ma, Shunli, Sun, Zhengzong, Sun, Qingqing, Chen, Lin, Zhu, Hao, Wan, Jing, Xu, Zihan, Zhang, David Wei, Zhou, Peng, Bao, Wenzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184885/
https://www.ncbi.nlm.nih.gov/pubmed/34099710
http://dx.doi.org/10.1038/s41467-021-23719-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184885/
https://www.ncbi.nlm.nih.gov/pubmed/34099710
http://dx.doi.org/10.1038/s41467-021-23719-3

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