• DocumentCode
    2222563
  • Title

    An FPGA Design Space Exploration Tool for Matrix Inversion Architectures

  • Author

    Irturk, Ali ; Benson, Bridget ; Mirzaei, Shahnam ; Kastner, Ryan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., California Univ., La Jolla, CA
  • fYear
    2008
  • fDate
    8-9 June 2008
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Matrix inversion is a common function found in many algorithms used in wireless communication systems. As FPGAs become an increasingly attractive platform for wireless communication, it is important to understand the tradeoffs in designing a matrix inversion core on an FPGA. This paper describes a matrix inversion core generator tool, GUSTO, that we developed to ease the design space exploration across different matrix inversion architectures. GUSTO is the first tool of its kind to provide automatic generation of a variety of general purpose matrix inversion architectures with different parameterization options. GUSTO also provides an optimized application specific architecture with an average of 59% area decrease and 3X throughput increase over its general purpose architecture. The optimized architectures generated by GUSTO provide comparable results to published matrix inversion architecture implementations, but offer the advantage of providing the designer the ability to study the tradeoffs between architectures with different design parameters.
  • Keywords
    field programmable gate arrays; matrix inversion; radiocommunication; FPGA design space exploration tool; GUSTO; matrix inversion core generator tool; optimized application specific architecture; wireless communication systems; Computer architecture; Design optimization; Field programmable gate arrays; MIMO; Matrix decomposition; OFDM; Resource management; Space exploration; Throughput; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application Specific Processors, 2008. SASP 2008. Symposium on
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4244-2333-0
  • Electronic_ISBN
    978-1-4244-2334-7
  • Type

    conf

  • DOI
    10.1109/SASP.2008.4570784
  • Filename
    4570784