• DocumentCode
    2330684
  • Title

    Compressor tree based processing element optimization in propagate partial SAD architecture

  • Author

    Huang, Yiqing ; Liu, Qin ; Ikenaga, Takeshi

  • Author_Institution
    Grad. Sch. of Inf., Waseda Univ., Kitakyushu
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    1786
  • Lastpage
    1789
  • Abstract
    In H.264/AVC standard, the improvement of motion estimation (ME) part helps to enhance the performance greatly. However, the ME part, especially the integer motion estimation (IME) occupies computation complexity dramatically, which leads to complexity in hardware implementation. Many works have been done to achieve efficient IME engine and propagate partial SAD (PPSAD) architecture is the most efficient one in data path and hardware cost. Based on PPSAD structure, this paper proposes a compressor tree based compact PE array architecture. The 4-2 and 3-2 compressor trees are used to build up this compact structure. The proposed structure is embedded into PPSAD architecture and synthesized under different frequency points. With TSMC 0.18 mum 1P8M technology, the proposed architecture can achieve 10%-13% hardware cost reduction for a single 4times4 PE array compared with most recent work. About 10.7 k, 13.2 k and 6.5 k gates hardware cost can be saved compared with previous PPSAD structures.
  • Keywords
    computational complexity; motion estimation; video coding; H.264-AVC standard; compressor tree; computation complexity; efficient IME engine; integer motion estimation; processing element optimization; propagate partial SAD architecture; Algorithm design and analysis; Automatic voltage control; Computer architecture; Costs; Engines; Frequency synthesizers; Hardware; Motion estimation; Production systems; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746388
  • Filename
    4746388