RDCIM: RISC-V Supported Full-Digital Computing-in-Memory Processor With High Energy Efficiency and Low Area Overhead-Reference-Cited by-同舟云学术

RDCIM: RISC-V Supported Full-Digital Computing-in-Memory Processor With High Energy Efficiency and Low Area Overhead

Author:

Yi Wente¹^ORCID,Mo Kefan¹,Wang Wenjia¹^ORCID,Zhou Yitong¹,Zeng Yejun¹,Yuan Zihan¹,Cheng Bojun²^ORCID,Pan Biao¹^ORCID

Affiliation:

1. School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China

2. Microelectronics Thrust, Function Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Laboratory Open Fund of Beijing Smart-Chip Microelectronics Technology Company Ltd

Fundamental Research Funds for the Central Universities

Key Research and Development Program of Anhui Province

Joint Laboratory Fund of Beihang University and SynSense

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference35 articles.

2. An analysis of deep neural network models for practical applications;Canziani;arXiv:1605.07678,2016

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