Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation,Electronic, Optical and Magnetic Materials
Reference47 articles.
1. Anthony, L. F. W., Kanding, B. & Selvan, R. Carbontracker: tracking and predicting the carbon footprint of training deep learning models. Preprint at https://arxiv.org/abs/2007.03051 (2020).
2. Xia, Q. & Yang, J. J. Memristive crossbar arrays for brain-inspired computing. Nat. Mater. 18, 309–323 (2019).
3. Haensch, W., Gokmen, T. & Puri, R. The next generation of deep learning hardware: analog computing. Proc. IEEE 107, 108–122 (2019).
4. Yu, S. Neuro-inspired computing with emerging nonvolatile memorys. Proc. IEEE 106, 260–285 (2018).
5. Xi, Y. et al. In-memory learning with analog resistive switching memory: a review and perspective. Proc. IEEE 109, 14–42 (2021).
Cited by
36 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献