• DocumentCode
    1951690
  • Title

    Image compression using coarse grain parallel processing

  • Author

    Normile, James ; Wright, Dan

  • Author_Institution
    Apple Computer ATG, Cupertino, CA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    1121
  • Abstract
    The architecture and application of a multiprocessor system based on a homogeneous array of DSP processors are discussed. The system consists of floating point digital signal processors connected to each other via fast serial links. Each processor has access to a globally shared memory, and a multiple bus architecture in combination with a dual ported memory allows communication with a host controller. The architecture has been implemented and applied to the prototyping of video compression algorithms. The algorithms implemented include JPEG still-frame compression, CCITT H.261, and MPEG coding. These techniques may be decomposed into variable length encode or decode portions in tandem with a compute intensive element. This decomposition and its mapping into parallel processors is described
  • Keywords
    computerised picture processing; data compression; encoding; parallel processing; CCITT H.261; DSP processors; JPEG still-frame compression; MPEG coding; coarse grain parallel processing; decoding; decomposition; dual ported memory; encoding; floating point digital signal processors; globally shared memory; homogeneous array; host controller; image compression; mapping; multiple bus architecture; multiprocessor system; parallel processors; serial links; video compression algorithms; Communication system control; Computer architecture; Digital signal processing; Digital signal processors; Image coding; Multiprocessing systems; Parallel processing; Prototypes; Signal processing algorithms; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150563
  • Filename
    150563