publication . Article . Embargo end date: 25 Sep 2021 . Under curation

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

Karunaratne, Geethan; Le Gallo, Manuel; Hersche, Michael; Cherubini, Giovanni; Benini, Luca; Sebastian, Abu; Rahimi, Abbas;
Embargo
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...
Persistent Identifiers
Funded by
EC| PROJESTOR
Project
PROJESTOR
PROJECTED MEMRISTOR: A nanoscale device for cognitive computing
  • Funder: European Commission (EC)
  • Project Code: 682675
  • Funding stream: H2020
Download from
Embargo
ZENODO
Article
Provider: ZENODO
Any information missing or wrong?Report an Issue