Enabling system-level platform resilience through embedded data-driven inference capabilities in electronic devices

Naveen Verma, Kyong Ho Lee, Kuk Jin Jang, Ali Shoeb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Advanced devices for embedded and ambient applications represent one of the most compelling classes of electronic systems, but they also impose more severe constraints on system resources than ever before. Although platform non-idealities have always posed a fundamental limitation, the overheads of conventional margining are now reaching intolerable levels. We describe an alternate approach to hardware resilience that applies to applications where advanced modeling and inference capabilities are required, a rapidly increasing emphasis in many applications. We show how a data-driven modeling framework for analyzing application data can also be used to effectively model and overcome a broad range of hardware non-idealities. Specific examples for biomedical sensors are shown that are able to retain performance with minimal on-line overhead despite the presence of severe digital- and analog-circuit non-idealities.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages5285-5288
Number of pages4
DOIs
StatePublished - Oct 23 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: Mar 25 2012Mar 30 2012

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period3/25/123/30/12

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Hardware resilience
  • biomedical devices
  • digitally-assisted analog
  • machine learning
  • stochastic computation

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  • Cite this

    Verma, N., Lee, K. H., Jang, K. J., & Shoeb, A. (2012). Enabling system-level platform resilience through embedded data-driven inference capabilities in electronic devices. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (pp. 5285-5288). [6289113] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6289113