A High-Accuracy and Low-Power Emerging Technology-Based Associative Memory-Reference-Cited by-同舟云学术

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A High-Accuracy and Low-Power Emerging Technology-Based Associative Memory

Published:2024 Issue: Volume:23 Page:293-298
ISSN:1536-125X
Container-title:IEEE Transactions on Nanotechnology
language:
Short-container-title:IEEE Trans. Nanotechnology

Author:

Rezaei Mahan¹^ORCID,Amirany Abdolah²^ORCID,Moaiyeri Mohammad Hossein¹^ORCID,Jafari Kian³^ORCID

Affiliation:

1. Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

2. Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA

3. Institut Interdisciplinaire d'Innovation Technologique (3IT), Université de Sherbrooke, Sherbrooke, QC, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7729/10368312/10477605.pdf?arnumber=10477605

Reference28 articles.

1. Neuromorphic spintronics

2. Leakage current: Moore's law meets static power

3. Universality of Short-Channel Effects on Ultrascaled MOSFET Performance

4. Drain-Induced Barrier Lowering and Parasitic Resistance Induced Instabilities in Short-Channel InSnZnO TFTs

5. Exploiting Carbon Nanotube FET and Magnetic Tunneling Junction for Near-Memory-Computing Paradigm

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. Energy-Efficient Adiabatic MTJ/CMOS-Based CLB for Non-Volatile FPGA;2024 IEEE 24th International Conference on Nanotechnology (NANO);2024-07-08

2. BSTCIM: A Balanced Symmetry Ternary Fully Digital In-MRAM Computing Macro for Energy Efficiency Neural Network;IEEE Transactions on Circuits and Systems I: Regular Papers;2024

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