Spin-Orbit Torque Neuromorphic Fabrics for Low-Leakage Reconfigurable In-Memory Computation
Author:
Affiliation:
1. Computer Engineering Program, California State University at Fullerton, Fullerton, CA, USA
2. Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/16/9741401/09686359.pdf?arnumber=9686359
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1. CMOS and Memristor-Based Neural Network Design for Position Detection
2. Low Energy Domain Wall Memory Based Convolution Neural Network Design with Optimizing MAC Architecture
3. Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices
4. A routing fabric for monolithically stacked 3D-FPGA
5. Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results
Cited by 3 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. Spintronic devices for high-density memory and neuromorphic computing – A review;Materials Today;2023-11
2. Non-volatile reconfigurable spin logic functions in a two-channel Hall bar by spin–orbit torque-based magnetic domains and directional read current;Scientific Reports;2023-07-18
3. Foreword Special Issue on Spintronics-Devices and Circuits;IEEE Transactions on Electron Devices;2022-04
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