High performance FFT on multicore processors

J. Barhen, C. Kotas, T. S. Humble, P. Mitra, N. Imam, M. A. Buckner, M. R. Moore

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

9 Scopus citations

Abstract

The importance of achieving high performance Fourier transforms for Cognitive Radio applications can not be over-emphasized. This includes signal detection in the presence of noise power uncertainty, multi-resolution spectrum sensing, minimization of subcarriers' side lobes in OFDM modulators, multi-stream processing, or spectrum loading, for example. With the emergence of advanced multicore processors, there is a remarkable opportunity to develop novel, massively parallel implementations of the FFT. This paper reviews recent advances in the area, and presents results for three classes of devices: the IBM Cell multi-SIMD processor, the Nvidia Tesla SIMT processor, and the EnLight digital optical core device.

Original languageEnglish
Title of host publication2010 Proceedings of the 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010
DOIs
StatePublished - 2010
Event2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010 - Cannes, France
Duration: Jun 9 2010Jun 11 2010

Publication series

Name2010 Proceedings of the 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010

Conference

Conference2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010
Country/TerritoryFrance
CityCannes
Period06/9/1006/11/10

Keywords

  • Cognitive radio
  • FFT
  • Multicore procesors
  • Optical core processors
  • Transverse vectorization

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