• DocumentCode
    1911395
  • Title

    A SIMD vectorizing compiler for digital signal processing algorithms

  • Author

    Franchetti, F. ; Puschel, M.

  • Author_Institution
    Appl. & Numerical Math., Tech. Univ. of Vienna, Austria
  • fYear
    2001
  • fDate
    15-19 April 2001
  • Abstract
    Short vector SIMD instructions on recent microprocessors, such as SSE on Pentium III and 4, speed up code but are a major challenge to software developers. We present a compiler that automatically generates C code enhanced with short vector instructions for digital signal processing (DSP) transforms, such as the fast Fourier transform (FFT). The input to our compiler is a concise mathematical description of a DSP algorithm in the language SPL. SPL is used in the SPIRAL system (http://wwwece.cmu.edu/~spira/) to generate highly optimized architecture adapted implementations of DSP transforms. Interfacing our compiler with SPIRAL yields speed-ups of more than a factor of 2 in several important cases including the FFT and the discrete cosine transform (DCT) used in the JPEG compression standard. For the FFT our automatically generated code is competitive with the hand-coded Intel Math Kernel Library.
  • Keywords
    C language; discrete cosine transforms; fast Fourier transforms; parallel programming; parallelising compilers; signal processing; C code generation; Intel Math Kernel Library; JPEG compression standard; SIMD vectorizing compiler; SPIRAL system; SPL language; digital signal processing algorithms; discrete cosine transform; fast Fourier transform; microprocessors; short vector SIMD instructions; Digital signal processing; Discrete cosine transforms; Discrete transforms; Fast Fourier transforms; Kernel; Microprocessors; Signal generators; Signal processing algorithms; Spirals; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium., Proceedings International, IPDPS 2002, Abstracts and CD-ROM
  • Conference_Location
    Ft. Lauderdale, FL
  • Print_ISBN
    0-7695-1573-8
  • Type

    conf

  • DOI
    10.1109/IPDPS.2002.1015494
  • Filename
    1015494