Analog Computation with RRAM and Supporting Circuits-Reference-Cited by-同舟云学术

Analog Computation with RRAM and Supporting Circuits

Published:2022 Issue: Volume: Page:17-32
ISSN:
Container-title:Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication
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Author:

Correll Justin M.,Lee Seung Hwan,Cai Fuxi,Bothra Vishishtha,Lim Yong,Zhang Zhengya,Lu Wei D.,Flynn Michael P.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91741-8_2

Reference19 articles.

1. S. Cosemans et al, Towards 10000TOPS/W DNN inference with analog in-memory computing – a circuit blueprint, device options and requirements, in IEEE Int. Electron Devices Meeting (IEDM) (San Francisco, CA, USA, 2019), pp. 22.2.1–22.2.4

2. S. Kim, J. Zhou, W.D. Lu, Crossbar RRAM arrays: Selector device requirements during write operation. IEEE Trans. Electron Devices 61(8), 2820–2826 (2019)

3. J. Zhou, K. Kim, W.D. Lu, Crossbar RRAM arrays: Selector device requirements during read operation. IEEE Trans. Electron Devices 61(5), 1369–1376 (2014)

4. M.A. Zidan et al., Memristor-based memory: The sneak paths problem and solutions. Microelectron. J. 44(2), 176–183 (2013)

5. H. Kim, H. Nili, M.R. Mahmoodi, D.B. Strukov, 4K-memristor analog-grade passive crossbar circuit, arXiv:1906.12045 (2019)

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