• DocumentCode
    1756333
  • Title

    Compact MOSFET Modeling for Process Variability-Aware VLSI Circuit Design

  • Author

    Saha, Samar K.

  • Author_Institution
    Prospicient Devices, Milpitas, CA, USA
  • Volume
    2
  • fYear
    2014
  • fDate
    2014
  • Firstpage
    104
  • Lastpage
    115
  • Abstract
    This paper presents a systematic methodology to develop compact MOSFET models for process variability-aware VLSI circuit design. Process variability in scaled CMOS technologies severely impacts the functionality, yield, and reliability of advanced integrated circuit devices, circuits, and systems. Therefore, variability-aware circuit design techniques are required for realistic assessment of the impact of random and systematic process variability in advanced VLSI circuit performance. However, variability-aware circuit design requires compact MOSFET variability models for computer analysis of the impact of process variability in VLSI circuit design. This paper describes a generalized methodology to determine the major set of device parameters sensitive to random and systematic process variability in nanoscale MOSFET devices, map each variability-sensitive device parameter to the corresponding compact model parameter of the target compact model, and generate statistical compact MOSFET models for variability-aware VLSI circuit design.
  • Keywords
    CMOS integrated circuits; MOSFET; integrated circuit design; semiconductor device models; compact MOSFET modeling; device parameters; process variability aware VLSI circuit design; random process variability; scaled CMOS technology; systematic process variability; Analytical models; Data models; Integrated circuit modeling; MOSFET; Semiconductor device modeling; Solid modeling; Very large scale integration; BSIM4 MOSFET model; Process variability; global variations; local variations; mismatch modeling; statistical compact modeling; variability modeling;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2014.2304568
  • Filename
    6732881