• DocumentCode
    3381796
  • Title

    A sliding memory array processor for low level vision

  • Author

    Sunwoo, M.H. ; Aggarwal, J.K.

  • Author_Institution
    Comput. & Vision Res. Center, Texas Univ., Austin, TX, USA
  • Volume
    ii
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    312
  • Abstract
    A mesh-connected architecture, called a Sliding Memory Plane (SliM) array processor, for low-level vision tasks is described. SliM alleviates several disadvantages of existing mesh-connected architectures. It is a fine-grained massively parallel single-instruction multiple-data architecture. The inter-PE communication can occur without interrupting PEs. Two I/O planes can provide a buffering capability. The communication and I/O overheads can each be overlapped with the computation, and both are therefore greatly diminished. Bit-serial communication and bit-parallel computation are used. Various types of communication and virtual interconnections for communication between diagonal-direction PEs are provided. Each PE can operate separately, based on some degree of local autonomy. SliM shows thorough applicability with these configurations. Parallel algorithms for low-level vision tasks on SliM having a zero or an O(1) communication complexity are proposed. The performance of SliM is illustrated with several examples of low-level computer vision tasks
  • Keywords
    computer vision; parallel algorithms; parallel architectures; SIMD; SliM; bit serial communication; bit-parallel computation; computer vision; low level vision; mesh-connected architecture; parallel algorithm; parallel architectures; sliding memory array processor; Computer architecture; Computer vision; Concurrent computing; Degradation; Digital audio players; Head; Hypercubes; Logic circuits; Parallel algorithms; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.119375
  • Filename
    119375