The Hyper-Dimensional Processing Unit: Energy-Efficient Machine Learning Using Vector-Symbolic Architectures
Youbin Kim
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2024-232
December 20, 2024
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2024/EECS-2024-232.pdf
Advisors: Jan M. Rabaey
BibTeX citation:
@phdthesis{Kim:EECS-2024-232, Author= {Kim, Youbin}, Title= {The Hyper-Dimensional Processing Unit: Energy-Efficient Machine Learning Using Vector-Symbolic Architectures}, School= {EECS Department, University of California, Berkeley}, Year= {2024}, Month= {Dec}, Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2024/EECS-2024-232.html}, Number= {UCB/EECS-2024-232}, }
EndNote citation:
%0 Thesis %A Kim, Youbin %T The Hyper-Dimensional Processing Unit: Energy-Efficient Machine Learning Using Vector-Symbolic Architectures %I EECS Department, University of California, Berkeley %D 2024 %8 December 20 %@ UCB/EECS-2024-232 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2024/EECS-2024-232.html %F Kim:EECS-2024-232