Energy-optimized high performance FFT processor

Dongsuk Jeon, Mingoo Seok, Chaitali Chakrabarti, David Blaauw, Dennis Sylvester

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

6 Scopus citations

Abstract

This paper proposes an ultra low energy FFT processor suitable for sensor applications. The processor is based on R4MDC but achieves full utilization of computational elements. It has two parallel datapaths that increase throughput by a factor of 2 and also enable high memory utilization. The proposed design is implemented in 65nm CMOS technology and post-layout simulation including parasitic capacitances shows it achieves 9.25x higher energy efficiency than state-of-the-art FFT processors and high throughput relative to past subthreshold circuit implementations.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages1701-1704
Number of pages4
DOIs
StatePublished - Aug 18 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: May 22 2011May 27 2011

Publication series

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

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period5/22/115/27/11

Keywords

  • Energy-optimal design
  • Fast Fourier Transform
  • Parallel-pipelined architecture
  • Pipelined architecture

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Jeon, D., Seok, M., Chakrabarti, C., Blaauw, D., & Sylvester, D. (2011). Energy-optimized high performance FFT processor. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 1701-1704). [5946828] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5946828