• DocumentCode
    2908782
  • Title

    Reconfigurable SWP Operator for Multimedia Processing

  • Author

    Khan, Shafqat ; Casseau, Emmanuel ; Menard, Daniel

  • Author_Institution
    CAIRN, INRIA, Lannion, France
  • fYear
    2009
  • fDate
    7-9 July 2009
  • Firstpage
    199
  • Lastpage
    202
  • Abstract
    For performance enhancement, reconfigurable processors have to overcome the overheads of reconfigurations such as the complexity of the interconnection network and reconfiguration time. In processors dealing with multimedia applications these overheads can be reduced by providing the reconfigurability inside the processing units rather than at interconnection level. Due to the low precision data nature of multimedia applications, reconfiguration at operator level also provides additional speedup through parallel execution of low precision data. In this paper a pipelined architecture of a reconfigurable coarse grain subword parallel (SWP) operator is presented for multimedia applications. This operator not only eliminates the need of reconfiguration time but also provides the reconfigurability at both data size level (different pixel data sizes) and at operation level (different multimedia oriented operations). This ensures a better utilization of the processor resources and reduces the reconfiguration overheads significantly.
  • Keywords
    interconnected systems; microprocessor chips; multimedia systems; multiprocessor interconnection networks; pipeline processing; interconnection network; multimedia processing; pipelined architecture; reconfigurable coarse grain subword parallel operator; reconfigurable processors; Arithmetic; Computer applications; Embedded system; Field programmable gate arrays; LAN interconnection; Multimedia systems; Multiprocessor interconnection networks; Parallel processing; Registers; Resource management; data level parallelism; embedded systems; multimedia processing; reconfigurable systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application-specific Systems, Architectures and Processors, 2009. ASAP 2009. 20th IEEE International Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    2160-0511
  • Print_ISBN
    978-0-7695-3732-0
  • Electronic_ISBN
    2160-0511
  • Type

    conf

  • DOI
    10.1109/ASAP.2009.13
  • Filename
    5200030