Soft-core Stream Processing on FPGA: An FFT Case Study

Peng Wang, John McAllister, Yun Wu

Research output: Contribution to conferencePaperpeer-review

10 Citations (Scopus)

Abstract

The increasing design complexity associated with modern Field Programmable Gate Array (FPGA) has prompted the emergence of 'soft'-programmable processors which attempt to replace at least part of the custom circuit design problem with a problem of programming parallel processors. Despite substantial advances in this technology, its performance and resource efficiency for computationally complex operations remains in doubt. In this paper we present the first recorded implementation of a softcore Fast-Fourier Transform (FFT) on Xilinx Virtex FPGA technology. By employing a streaming processing architecture, we show how it is possible to achieve architectures which offer 1.1 GSamples/s throughput and up to 19 times speed-up against the Xilinx Radix-2 FFT dedicated circuit with comparable cost.
Original languageEnglish
Pages2756 - 2760
Number of pages5
DOIs
Publication statusPublished - May 2013
EventAcoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on - Vancouver, Canada
Duration: 26 May 201331 May 2013

Conference

ConferenceAcoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
CountryCanada
CityVancouver
Period26/05/201331/05/2013

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