• DocumentCode
    3024625
  • Title

    Analog layout retargeting with geometric programming and constrains symbolization method

  • Author

    Shaoxi Wang ; Xiaoya Fan ; Shengbing Zhang ; Jing Ming-e

  • Author_Institution
    Sch. of software & Microelectron., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    To satisfy the requirements of complex and special analog layout constraints, a constrains symbolization method based on geometric programming for analog layout retargeting is presented in this paper. The approach is to build symbolic template for layouts, then uses geometric programming (GP) to achieve new technology design rules, implement device symmetry and matching constraints, and manage parasitics optimization. The GP, a class of non-linear optimization problem, can be transferred or fitted into a convex optimization problem. Therefore, a global optimum solution can be achieved. The symbolization method ensures the layout retargeting automatically. The efficiency and effectiveness of the proposed algorithm, as compared with the other existing methods, are demonstrated by a basic case-study example and a two-stage Miller-compensated operational amplifier.
  • Keywords
    geometric programming; nonlinear programming; operational amplifiers; Miller-compensated operational amplifier; analog layout retargeting; constrains symbolization method; convex optimization problem; device symmetry; geometric programming; global optimum solution; matching constraints; nonlinear optimization problem; parasitic optimization; special analog layout constraints; symbolic template; technology design rules; Capacitance; Circuit optimization; Integrated circuit interconnections; Layout; Linear programming; Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6272034
  • Filename
    6272034