uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing

Authors

Mehran Shoushtari Moghadam, Case Western Reserve UniversityFollow
M. Hassan Najafi, Case Western Reserve UniversityFollow

Author ORCID Identifier

Mehran Shoushtari Moghadam

M. Hassan Najafi

Document Type

Conference Proceeding

Publication Date

6-10-2024

Manuscript Version

am

Abstract

Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-streams and form the basic building blocks of HDC systems. In HDC, hypervectors are generated from scalar values without considering bit significance. HDC is efficient and robust for various data processing applications, especially computer vision tasks. To construct HDC models for vision applications, the current state-of-the-art practice utilizes two parameters for data encoding: pixel intensity and pixel position. However, the intensity and position information embedded in high-dimensional vectors are generally not generated dynamically in the HDC models. Consequently, the optimal design of hypervectors with high model accuracy requires powerful computing platforms for training. A more efficient approach is to generate hypervectors dynamically during the training phase. To this aim, this work uses low-discrepancy sequences to generate intensity hypervectors, while avoiding position hypervectors. Doing so eliminates the multiplication step in vector encoding, resulting in a powerefficient HDC system. For the first time in the literature, our proposed approach employs lightweight vector generators utilizing unary bit-streams for efficient encoding of data instead of using conventional comparator-based generators.

Language

English

Publication Title

The 2024 Design, Automation, and Test in Europe Conference & Exhibition

Rights

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Recommended Citation

S. Aygun, M. S. Moghadam and M. H. Najafi, "uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing," 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), Valencia, Spain, 2024, pp. 1-6, doi: 10.23919/DATE58400.2024.10546545.