Enviar artigo por via de e-mail Hybrid control system for memristive arrays: development of a high-level scheme and implementation prospects
- Autores: Tokarev A.1
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Afiliações:
- МИРЭА – Технологический университет (РТУ МИРЭА)
- Edição: Nº 6 (2025)
- Páginas: 106-112
- Seção: 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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Resumo
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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Sobre autores
A. Tokarev
МИРЭА – Технологический университет (РТУ МИРЭА)
Autor responsável pela correspondência
Email: santokar5@gmail.com
Rússia
Bibliografia
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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.
- Roy K., et al. Towards spike-based machine intelligence with neuromorphic computing // Nature 13 575. 607-617 (2019). http://doi.org/10.1038/s41586-019-1677-2.
- 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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