High performance FFT on multicore processors

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

5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

High performance FFT on multicore processors

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@INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9283,
    author={J. Barhen and C. Kotas and T.S. Humble and P. Mitra and N. Imam and M.A. Buckner and M.R. Moore},
    title={High performance FFT on multicore processors},
    proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2010},
    month={9},
    keywords={FFT  cognitive radio  multicore procesors  optical core processors  transverse vectorization},
    doi={10.4108/ICST.CROWNCOM2010.9283}
}

J. Barhen
C. Kotas
T.S. Humble
P. Mitra
N. Imam
M.A. Buckner
M.R. Moore
Year: 2010
High performance FFT on multicore processors
CROWNCOM
IEEE
DOI: 10.4108/ICST.CROWNCOM2010.9283

J. Barhen¹^,*, C. Kotas¹, T.S. Humble¹, P. Mitra¹, N. Imam¹, M.A. Buckner², M.R. Moore²

1: Center for Engineering Science Advanced Research, Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
2: RF and Microwave Systems Group, Measurement Science & Systems Eng. Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America

*Contact email: barhenj@ornl.gov

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: FFT cognitive radio multicore procesors optical core processors transverse vectorization

Published: 2010-09-16
Publisher: IEEE

: http://dx.doi.org/10.4108/ICST.CROWNCOM2010.9283