Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop-Reference-Cited by-同舟云学术

Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 40th International Conference on Computer Design (ICCD)
language:
Short-container-title:

Author:

Lee Sugil¹,Fouda Mohammed E.²,Lee Jongeun¹,Eltawil Ahmed³,Kurdahi Fadi²

Affiliation:

1. Ulsan National Institute of Science and Technology (UNIST),Dept. of Electrical Engineering,Ulsan,Korea

2. University of California,Center for Embedded & Cyber-Physical Systems,Irvine,CA,USA

3. King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955

Funder

King Abdullah University of Science and Technology

Publisher

IEEE

Link

Reference37 articles.

2. Deep residual learning for image recognition;he;CoRR,2015

3. Binarized neural networks;hubara;International Conference on Neural Information Processing Systems,2016

4. The CIFAR-10 dataset;krizhevsky,2014

Cited by 2 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

1. PyAIM: Pynq-Based Scalable Analog In-Memory Computing Prototyping Platform;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22