Enhancing Stochastic Computing using a Novel Hybrid Random Number Generator Integrating LFSR and Halton Sequence

Donghui Lee, Junhyuk Baik, Yongtae Kim

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

2 Scopus citations

Abstract

This paper presents a new approach to address the increased hardware complexity and power demands associated with using multiple random number generator (RNG) in stochastic computing (SC). We propose a novel hybrid RNG, which combines a linear feedback shift register (LFSR) and a Halton sequence generator, to facilitate efficient generation of random number sequences in SC. Implemented in a 65- nm CMOS technology, our hybrid RNG yields up to 18% and 30% enhancements in area and power, respectively, compared to the traditional LFSR-based equivalent. Further, the proposed RNG's efficacy is demonstrated through its incorporation in SC-based Robert cross-edge detector algorithm, yielding reductions in area and power by 28% and 35%, respectively, while preserving superior processing quality.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2023, ISOCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-8
Number of pages2
ISBN (Electronic)9798350327038
DOIs
StatePublished - 2023
Event20th International SoC Design Conference, ISOCC 2023 - Jeju, Korea, Republic of
Duration: 25 Oct 202328 Oct 2023

Publication series

NameProceedings - International SoC Design Conference 2023, ISOCC 2023

Conference

Conference20th International SoC Design Conference, ISOCC 2023
Country/TerritoryKorea, Republic of
CityJeju
Period25/10/2328/10/23

Keywords

  • Halton sequence
  • linear feedback shift register (LFSR)
  • random number generator (RNG)
  • stochastic computing (SC)

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