• DocumentCode
    1309849
  • Title

    An efficient approach to the computation of analytic, pseudo analytic sensitivities and noise in an APL general purpose CAD program

  • Author

    Zein, D.A. ; Chang, C.S.

  • Author_Institution
    IBM General Technol. Div., East Fishkill, NY, USA
  • Volume
    4
  • Issue
    3
  • fYear
    1982
  • Firstpage
    16
  • Lastpage
    31
  • Abstract
    An approach to sensitivity computation has been implemented for IC circuits using gate arrays, where the design engineer needs only to alter parameters defining the horizontal geometry of devices. An efficient technique has been used to transpose a pre-ordered sparsely-stored circuit matrix, leaving the program´s optimal ordering strategy invariant. As a consequence, only one solution of adjoint-type equations is needed at a DC point, or at a frequency (AC) or time point, to compute the sensitivities of an output variable with respect to any number of parameters. In noise computation, one AC solution is sufficient to compute the RMS noise at an output regardless of the number of noise expressions. Furthermore, unlike other programs, the Interactive Circuit Design Program used allows noise expressions that could be functions of an arbitrary set of parameters, voltages, currents, and frequency and therefore, the most commonly used noise sources are covered. Examples show that lab measurement of noise agrees with simulation.
  • Keywords
    APL; circuit CAD; random noise; sensitivity analysis; APL; IC circuits using gate arrays; Interactive Circuit Design Program; RMS noise; analytic sensitivities; circuit CAD; general purpose CAD program; noise computation; pre-ordered sparsely-stored circuit matrix; sensitivity computation; solution of adjoint-type equations; Computers; Educational institutions; Junctions; Laboratories; Noise; Sensitivity; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Circuits & Systems Magazine
  • Publisher
    ieee
  • ISSN
    0163-6812
  • Type

    jour

  • DOI
    10.1109/MCAS.1982.6323804
  • Filename
    6323804