Superconducting Hyperdimensional Associative Memory Circuit for Scalable Machine Learning-Reference-Cited by-同舟云学术

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Superconducting Hyperdimensional Associative Memory Circuit for Scalable Machine Learning

Published:2023-08 Issue:5 Volume:33 Page:1-14
ISSN:1051-8223
Container-title:IEEE Transactions on Applied Superconductivity
language:
Short-container-title:IEEE Trans. Appl. Supercond.

Author:

Huch Kylie¹^ORCID,Gonzalez-Guerrero Patricia¹,Lyles Darren¹^ORCID,Michelogiannakis George¹^ORCID

Affiliation:

1. Computer Architecture Group, Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Funder

Army Research Office

Director, Office of Science

U.S. Department of Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://ieeexplore.ieee.org/ielam/77/10024526/10113676-aam.pdf

Reference66 articles.

1. A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers

2. Experimental implementation of SFQ NDRO cells and 8-bit ADC

3. Online learning: A comprehensive survey

4. Europarl: A parallel corpus for statistical machine translation;koehn;Proc Mach Transl Summit X Papers,0

5. SuperNPU: An Extremely Fast Neural Processing Unit Using Superconducting Logic Devices

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