A transpose-free in-place SIMD optimized FFT

  • Authors:
  • James R. Geraci;Sharon M. Sacco

  • Affiliations:
  • MIT Lincoln Laboratory;MIT Lincoln Laboratory

  • Venue:
  • ACM Transactions on Architecture and Code Optimization (TACO)
  • Year:
  • 2012

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Abstract

A transpose-free in-place SIMD optimized algorithm for the computation of large FFTs is introduced and implemented on the Cell Broadband Engine. Six different FFT implementations of the algorithm using six different data movement methods are described. Their relative performance is compared for input sizes from 217 to 221 complex floating point samples. Large differences in performance are observed among even theoretically equivalent data movement patterns. All six implementations compare favorably with FFTW and other previous FFT implementations.