电邮这篇文章 Hybrid control system for memristive arrays: development of a high-level scheme and implementation prospects
- 作者: Tokarev A.1
-
隶属关系:
- МИРЭА – Технологический университет (РТУ МИРЭА)
- 期: 编号 6 (2025)
- 页面: 106-112
- 栏目: FOR ENGINEERS
- URL: https://journals.eco-vector.com/1992-4178/article/view/688719
- DOI: https://doi.org/10.22184/1992-4178.2025.247.6.106.112
- ID: 688719
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详细
The article proposes a memristive array control architecture that allows working with passive crossbar structures, which significantly increases the layout density and reduces the technological complexity of production. The main functional blocks of the system are described.
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作者简介
A. Tokarev
МИРЭА – Технологический университет (РТУ МИРЭА)
编辑信件的主要联系方式.
Email: santokar5@gmail.com
俄罗斯联邦
参考
- Yadav D.N., Thangkhiew P.L., Chakraborty S., et al. Efficient grouping approach for fault tolerant weight mapping in memristive crossbar array // Memories – Materials, Devices, Circuits and Systems 4 (2023) 100045 https://doi.org/10.1016/ j.memori.2023.100045.
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- Xu Y., Jin S., Wang Y., et al. Aggressive Fault Tolerance for Memristor Crossbar-Based Neural Network Accelerators by Operational Unit Level Weight Mapping // IEEE Access. Vol. 9. PP. 102828–102834, 2021, doi: 10.1109/ACCESS.2021.3097724.
- Xia L., Huangfu W., Tang T., et al. Stuck-at Fault Tolerance in RRAM Computing Systems // IEEE Journal on Emerging and Selected Topics in Circuits and Systems. Vol. 8. No. 1. PP. 102–115. March 2018, doi: 10.1109/JETCAS.2017.2776980.
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- Xiaoyang Liu & Zhigang Zeng. Memristor crossbar architectures for implementing deep neural networks // Springer Nature Link. 2022. Vol. 8. PP. 787–802.
- Yao P., Wu H., Gao B., et al. Fully hardware-implemented memristor convolutional neural network // Nature. 2020. Vol. 577. PP. 641–646, 641–646 (2020). http://doi.org/10.1038/s41586-020-1942-4.
- Zhang J., Cheng L., Zeng H., Song Y. Thermal Management in Memristor-Based Crossbar Arrays for High-Density Nonvolatile Memories // IEEE Transactions on Electron Devices. Vol. 65. Is. 1. Jan. 2018.
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