• DocumentCode
    2697604
  • Title

    Real-time stereo vision on the PARTS reconfigurable computer

  • Author

    Woodfill, John ; Von Herzen, B.

  • Author_Institution
    Interval Res. Corp., Palo Alto, CA, USA
  • fYear
    1997
  • fDate
    16-18 Apr 1997
  • Firstpage
    201
  • Lastpage
    210
  • Abstract
    The paper describes a powerful, scalable, reconfigurable computer called the PARTS engine. The PARTS engine consists of 16 Xilinx 4025 FPGAs, and 16 one-megabyte SRAMs. The FPGAs are connected in a partial torus-each associated with two adjacent SRAMs. The SRAMs are tightly coupled to the FPGAs so that all the SRAMs can be accessed concurrently. The PARTS engine fits on a standard PCI card in a personal computer or workstation. The first application implemented on the PARTS engine is a depth from stereo vision algorithm that computes 24 stereo disparities on 320 by 240 pixel images at 42 frames per second. Running at this speed, the engine is performing approximately 2.3 billion RISC-equivalent operations per second, accessing memory at a rate of 500 million bytes per second and attaining throughput of over 70 million point×disparity measurements per second
  • Keywords
    field programmable gate arrays; image processing equipment; real-time systems; reconfigurable architectures; special purpose computers; stereo image processing; 1 Mbyte; PARTS engine; RISC-equivalent operations; SRAMs; Xilinx 4025 FPGAs; concurrent SRAM access; images; memory access; partial torus; personal computer; powerful scalable reconfigurable computer; real-time stereo vision; standard PCI card; stereo disparity computation; stereo vision algorithm; workstation; Application software; Computer vision; Engines; Field programmable gate arrays; Microcomputers; Performance evaluation; Pixel; Stereo vision; Throughput; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field-Programmable Custom Computing Machines, 1997. Proceedings., The 5th Annual IEEE Symposium on
  • Conference_Location
    Napa Valley, CA
  • Print_ISBN
    0-8186-8159-4
  • Type

    conf

  • DOI
    10.1109/FPGA.1997.624620
  • Filename
    624620