A Nonvolatile All-Spin Nonbinary Matrix Multiplier: An Efficient Hardware Accelerator for Machine Learning
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA
Funder
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
https://ieeexplore.ieee.org/ielam/16/9967813/9931525-aam.pdf
Reference25 articles.
1. Large-Scale Optical Neural Networks Based on Photoelectric Multiplication
2. The Future of Deep Learning Is Photonic: Reducing the energy needs of neural networks might require computing with light
3. Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets
4. A method to control magnetism in individual strain-mediated magnetoelectric islands
5. Giant voltage manipulation of MgO-based magnetic tunnel junctions via localized anisotropic strain: A potential pathway to ultra-energy-efficient memory technology
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