Designing stochastic number generators sharing a random number source based on the randomization function

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

Abstract

In this study, we propose a novel stochastic number generator architecture and prove that the resulting circuit can deliver independent stochastic numbers and improve the accuracy of the calculation results obtained using some recent conventional stochastic computing-based arithmetic circuits. This study is motivated by the increasingly important role of stochastic computing in various fields, such as the digital circuit design, where the stochastic number generators are responsible for a significant share of the hardware cost.

Original languageEnglish
Title of host publicationNEWCAS 2020 - 18th IEEE International New Circuits and Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages271-274
Number of pages4
ISBN (Electronic)9781728170442
DOIs
Publication statusPublished - 2020 Jun
Event18th IEEE International New Circuits and Systems Conference, NEWCAS 2020 - Montreal, Canada
Duration: 2020 Jun 162020 Jun 19

Publication series

NameNEWCAS 2020 - 18th IEEE International New Circuits and Systems Conference, Proceedings

Conference

Conference18th IEEE International New Circuits and Systems Conference, NEWCAS 2020
CountryCanada
CityMontreal
Period20/6/1620/6/19

Keywords

  • Approximate computing
  • Randomization function
  • Stochastic computing
  • Stochastic number generator

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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