• DocumentCode
    3116739
  • Title

    Design of a processor optimized for syntax parsing in video decoders

  • Author

    Siret, Nicolas ; Nezan, Jean-François ; Rhatay, Aimad

  • Author_Institution
    Eur. Univ. of Brittany, Brest, France
  • fYear
    2011
  • fDate
    2-4 Nov. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Heterogeneous platforms aim to offer both performance and flexibility by providing designers processors and programmable logical units on a single platform. Processors implemented on these platforms are usually soft-cores (e.g. Altera NIOS) or ASIC (e.g. ARM Cortex-A8). However, these processors still face limitations in terms of performance compared to full hardware designs in particular for real-time video decoding applications. We present in this paper an innovative approach to improve performance using both a processor optimized for the syntax parsing (an Application-Specific Instruction-set Processor) and a FPGA. The case study has been synthesized on a Xilinx FPGA at a frequency of 100 MHz and we estimate the performance that could be obtained with an ASIC.
  • Keywords
    application specific integrated circuits; decoding; field programmable gate arrays; microprocessor chips; video coding; ARM Cortex-A8; ASIC; Altera NIOS; Xilinx FPGA; application specific instruction set processor; frequency 100 MHz; heterogeneous platforms; processor design; programmable logical units; real-time video decoding; soft-cores; syntax parsing; video decoders; Computer architecture; Decoding; Hardware; Registers; Software; Streaming media; Syntactics; Application-Specific Instruction-set Processor (ASIP); Instruction Set Architecture (ISA); bit manipulation operations; circuit design; embedded processor; multimedia; processor architecture; video decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on
  • Conference_Location
    Tampere
  • Print_ISBN
    978-1-4577-0620-2
  • Electronic_ISBN
    978-1-4577-0619-6
  • Type

    conf

  • DOI
    10.1109/DASIP.2011.6136850
  • Filename
    6136850