Approximate computing with stochastic memristors

Rawan Naous, Khaled Nabil Salama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Approximate computing with memristive elements is a novel computing paradigm that sacrifices accuracy for power efficiency. It builds on the inherent stochastic switching behavior of the memristive devices to lower the voltage levels applied for the logic gates. With the added probabilistic operation of the underlying components, the accuracy of the output is to be studied and analyzed accordingly.

Original languageEnglish (US)
Title of host publicationCNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and Their Applications
EditorsRonald Tetzlaff
PublisherIEEE Computer Society
Pages97-98
Number of pages2
ISBN (Electronic)9783800742523
StatePublished - 2016
Event15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016 - Dresden, Germany
Duration: Aug 23 2016Aug 25 2016

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
Volume2016-August
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Conference

Conference15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016
Country/TerritoryGermany
CityDresden
Period08/23/1608/25/16

Bibliographical note

Publisher Copyright:
© VDE VERLAG GMBH.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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