• DocumentCode
    1712383
  • Title

    Instruction set extension for high throughput disparity estimation in stereo image processing

  • Author

    Banz, Christian ; Dolar, Carsten ; Cholewa, Fabian ; Blume, Holger

  • Author_Institution
    Inst. of Microelectron. Syst., Leibniz Univ. Hannover, Hannover, Germany
  • fYear
    2011
  • Firstpage
    169
  • Lastpage
    175
  • Abstract
    This paper presents the implementation and evaluation of an application-specific instruction set for a customizable RISC-processor for very high throughput stereo image processing. Compared to the base processor the overall processing time is accelerated by a factor of over 130, while the processor silicon area requirement increases only by a factor of 2.9. The processor has been enhanced with algorithm-specific extensions (i.e. special functional units), as well as with extensions that are not restricted to a specific algorithm (e.g. single-instruction-multiple-data). Hereby, the special functional units account for 50% of the speed-up, but less than 14% of the processor silicon area requirement. The proposed processor extensions thereby sustain the full flexibility of a programmable processor while enabling disparity estimation of 640×480 stereo video sequences at 20 fps when running at a clock frequency of 373 MHz.
  • Keywords
    application specific integrated circuits; image sequences; reduced instruction set computing; stereo image processing; application specific instruction set; clock frequency; customizable RISC processor; high throughput disparity estimation; instruction set extension; processor silicon area requirement; programmable processor; stereo image processing; stereo video sequences; Acceleration; Algorithm design and analysis; Estimation; Hardware; Registers; Signal processing algorithms; Transforms; ASIP; custom instructions; semi-global matching; stereo video processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application-Specific Systems, Architectures and Processors (ASAP), 2011 IEEE International Conference on
  • Conference_Location
    Santa Monica, CA
  • ISSN
    2160-0511
  • Print_ISBN
    978-1-4577-1291-3
  • Electronic_ISBN
    2160-0511
  • Type

    conf

  • DOI
    10.1109/ASAP.2011.6043265
  • Filename
    6043265