• DocumentCode
    492766
  • Title

    Assessment of using the statistical timing analysis software for the VLSI design at the macro level

  • Author

    Yang, Hyung Gyun ; Kim, Wook ; Kim, Young Hwan

  • Author_Institution
    Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol., Pohang
  • Volume
    02
  • fYear
    2008
  • fDate
    24-25 Nov. 2008
  • Abstract
    Satisfying timing constraint is the most important issue in today´s VLSI design. The recent increase of process variation, however, made it too difficult to predict the circuit timing accurately using traditional deterministic methods. Many statistical static timing analysis (SSTA) approaches have been proposed to deal with the impact of large process variation effectively. However, most of them focused on the gate-level design, and those for macro-level designs have not been well developed yet. This paper investigates the validity of applying SSTA to the macro-level designs by presenting preliminary experimental results that compare SSTA and the worst-case corner timing analysis in accuracy. In addition, this paper investigates how the process variation affects the usefulness of the macro-level SSTA.
  • Keywords
    VLSI; high level synthesis; integrated circuit design; statistical analysis; VLSI design; circuit timing; gate-level design; high-level design; macro-level design; process variation; statistical static timing analysis; timing constraint; Accuracy; Application software; Circuits; Delay estimation; Design engineering; High level synthesis; Process design; Software design; Timing; Very large scale integration; VLSI design; correlations; high-level design; process variation; statistical static timing analysis; worst-case corner;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference, 2008. ISOCC '08. International
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4244-2598-3
  • Electronic_ISBN
    978-1-4244-2599-0
  • Type

    conf

  • DOI
    10.1109/SOCDC.2008.4815715
  • Filename
    4815715