Efficient Associative Search in Brain-Inspired Hyperdimensional Computing | IEEE Journals & Magazine | IEEE Xplore

Efficient Associative Search in Brain-Inspired Hyperdimensional Computing


Abstract:

This article describes a method for efficient hypervector operations using a grouping strategy for reduced computations. Quantization is used for reducing the number of m...Show More

Abstract:

This article describes a method for efficient hypervector operations using a grouping strategy for reduced computations. Quantization is used for reducing the number of multiplications, whereas caching of magnitude is used for eliminating redundant computations.
Published in: IEEE Design & Test ( Volume: 37, Issue: 1, February 2020)
Page(s): 28 - 35
Date of Publication: 30 May 2019

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