Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse

Sahand Salamat
Sahand Salamat
Mohsen Imani
Mohsen Imani

IEEE Transactions on Computers, pp. 1159-1171, 2020.

Cited by: 0|Bibtex|Views36|DOI:https://doi.org/10.1109/TC.2020.2992662
EI WOS
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Brain-inspired hyperdimensional (HD) computing emulates cognition by computing with long-size vectors. HD computing consists of two main modules: encoder and associative search. The encoder module maps inputs into high dimensional vectors, called hypervectors. The associative search finds the closest match between the <italic>trained mod...More

Code:

Data:

Your rating :
0

 

Tags
Comments