• DocumentCode
    980666
  • Title

    A modular massively parallel computing approach to image-related processing

  • Author

    Krikelis, Anargyros ; Lea, R. Mike

  • Author_Institution
    Aspex Microsystems Ltd., Brunel Univ., Uxbridge, UK
  • Volume
    84
  • Issue
    7
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    988
  • Lastpage
    1004
  • Abstract
    A modular massively parallel computing (Modular-MPC) philosophy to image-related processing is discussed in this paper The approach is based on application-specific configurations of generic fine-grain Single Instruction stream operating on Multiple Data (SIMD) streams massively parallel computing modules to achieve high performance and maximal flexibility and programmability while remaining cost-effective. The need for a software architecture to allow programming such systems is highlighted and the implementations on current Modular-MPC systems are described. The experience with ASTRA, a Modular-MPC testbed system, in image related application development and system performance has led to a technology road-map using VLSI, MCM, and monolithic WSI technologies aiming at `future proofing´ of the Modular-MPC concept and systems achieving T (1012) operations per second performance. This experience and progress are discussed together with the implementation of three image-related processing applications
  • Keywords
    VLSI; digital signal processing chips; image processing; multichip modules; parallel algorithms; parallel architectures; parallel programming; software engineering; ASTRA; MCM technology; SIMD; VLSI technology; application-specific configurations; image-related processing; modular massively parallel computing; monolithic WSI technology; programming; software architecture; Application software; Image processing; Image recognition; Missiles; Parallel processing; Pattern recognition; Pixel; Software architecture; Streaming media; System testing;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.503299
  • Filename
    503299