• DocumentCode
    2952050
  • Title

    Synthesis and comparison of low-power high-throughput architectures for SAD calculation

  • Author

    Walter, Fábio L. ; Diniz, Cláudio M. ; Bampi, Sergio

  • Author_Institution
    GME - PGMICRO Grad. Programe on Microelectron., Fed. Univ. of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
  • fYear
    2011
  • fDate
    23-25 Feb. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents the standard-cells synthesis and comparison of parallel hardware architectures for the Sum of Absolute Differences (SAD) datapath, focusing on different design points such as high-performance (maximum throughput) and the tradeoff between high-performance and low-power dissipation (isoperformance target). Clock gating and different combination of parallelism and pipeline architectural techniques were explored in this work. In order to generate the results, we used the TSMC 0.18 μm standard-cells library with standard, slow and fast cells, and the back-end Cadence tools, e.g. Power Analysis, for the power measurements. We achieved significant power reduction for the architectures with low-frequency and high parallelism, slow cells and mainly with only one pipeline stage.
  • Keywords
    paper products; parallel architectures; pipeline processing; power aware computing; SAD calculation; Sum of Absolute Differences datapath; TSMC; back-end Cadence tools; clock gating; isoperformance target; low-power high-throughput architectures; parallel hardware architectures; pipeline architectural techniques; power analysis; power measurements; power reduction; standard-cells library; standard-cells synthesis; Clocks; Computer architecture; Frequency synthesizers; Parallel processing; Pipelines; Power dissipation; Throughput; Low-power; Sum of Absolute Differences (SAD); isoperformance; throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (LASCAS), 2011 IEEE Second Latin American Symposium on
  • Conference_Location
    Bogata
  • Print_ISBN
    978-1-4244-9484-2
  • Type

    conf

  • DOI
    10.1109/LASCAS.2011.5750276
  • Filename
    5750276