publication . Article . Preprint . 2021

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing

Geethan Karunaratne; Manuel Le Gallo; Michael Hersche; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi;
Open Access
  • Published: 25 Mar 2021 Journal: IEEE Transactions on Circuits and Systems II: Express Briefs, volume 68, pages 1,725-1,729 (issn: 1549-7747, eissn: 1558-3791, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The emerging brain-inspired computing paradigm known as hyperdimensional computing (HDC) has been proven to provide a lightweight learning framework for various cognitive tasks compared to the widely used deep learning-based approaches. Spatio-temporal (ST) signal processing, which encompasses biosignals such as electromyography (EMG) and electroencephalography (EEG), is one family of applications that could benefit from an HDC-based learning framework. At the core of HDC lie manipulations and comparisons of large bit patterns, which are inherently ill-suited to conventional computing platforms based on the von-Neumann architecture. In this work, we propose an a...
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Subjects
free text keywords: Electrical and Electronic Engineering, Computer Science - Emerging Technologies
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Funded by
EC| PROJESTOR
Project
PROJESTOR
PROJECTED MEMRISTOR: A nanoscale device for cognitive computing
  • Funder: European Commission (EC)
  • Project Code: 682675
  • Funding stream: H2020 | ERC | ERC-COG
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