High performance FFT on multicore processors

Author

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

Author_Institution

Center for Eng. Sci. Adv. Res., Oak Ridge Nat. Lab. Oak Ridge, Oak Ridge, TN, USA

fYear

2010

fDate

9-11 June 2010

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

cognitive radio; fast Fourier transforms; microprocessor chips; multiprocessing systems; telecommunication computing; Enlight digital optical core device; IBM Cell multiSIMD processor; Nvidia Tesla SIMT processor; OFDM modulators; cognitive radio applications; fast Fourier transforms; high performance FFT implementation; multicore processors; orthogonal frequency-division multiplexing; Digital filters; MATLAB; Object recognition; FFT; cognitive radio; multicore procesors; optical core processors; transverse vectorization;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Radio Oriented Wireless Networks & Communications (CROWNCOM), 2010 Proceedings of the Fifth International Conference on

Conference_Location

Cannes

Print_ISBN

978-1-4244-5885-1

Electronic_ISBN

978-1-4244-5886-8

Type

conf

Filename

5577772