A Hyperdimensional Computing Architecture with 4.4x Energy Efficiency in 65nm CMOS
Author:
Affiliation:
1. University of the Philippines,Electrical and Electronics Engineering Institute,Diliman
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10557853.pdf?arnumber=10557853
Reference21 articles.
1. High-Dimensional Computing as a Nanoscalable Paradigm
2. A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing
3. Computing with High-Dimensional Vectors
4. Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors
5. Fully Distributed Representation;Kanerva
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