Memristor-based discrete fourier transform for improving performance and energy efficiency

Ruizhe Cai, Ao Ren, Yanzhi Wang, Bo Yuan

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

1 Scopus citations

Abstract

Memristor has emerged as one of the most promising candidates for the fundamental device in the beyond-CMOS era. With their unique advantage on implementing low-power high-speed matrix multiplication, memristors have shown great and vast potentiality in many specific applications. This paper, for the first time, investigates the hardware design of DFT using memristors. Two implementations of DFT using memristors have been presented for effectively trading-off between hardware complexity and computing speed. Simulation results show that as compared to the conventional CMOS-based design, the proposed memristor-based design enables significant reduction in computation latency and improvement in power efficiency with very low inaccuracy. Simulation results show that the proposed memristor-based implementation could reach up to 10X improvement in speed and 109.8X reduction in power efficiency compared to CMOS-based design.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2016
PublisherIEEE Computer Society
Pages643-648
Number of pages6
Volume2016-September
ISBN (Electronic)9781467390385
DOIs
StatePublished - Sep 2 2016
Event15th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2016 - Pittsburgh, United States
Duration: Jul 11 2016Jul 13 2016

Other

Other15th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2016
CountryUnited States
CityPittsburgh
Period7/11/167/13/16

Keywords

  • DFT
  • Memristor
  • Memristor Crossbar

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Cai, R., Ren, A., Wang, Y., & Yuan, B. (2016). Memristor-based discrete fourier transform for improving performance and energy efficiency. In Proceedings - IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2016 (Vol. 2016-September, pp. 643-648). [7560273] IEEE Computer Society. https://doi.org/10.1109/ISVLSI.2016.124