Efficient average quality index estimation of integrated circuits by modified Latin hypercube sampling Monte Carlo (MLHSMC)

Author

Keramat, Mansour ; Kielbasa, Richard

Author_Institution

Service des Mesures, Ecole Superieure d´´Electr., Gif-sur-Yvette, France

Volume

3

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1648

Abstract

The Monte Carlo (MC) method exhibits generality and insensitivity to the number of stochastic variables, but it is expensive for accurate Average Quality Measure (AQI) or Parametric Yield estimation of MOS VLSI circuits or discrete component circuits. In this paper a variation of the Latin Hypercube Sampling MC method is presented which is an efficient variance reduction technique in Monte Carlo estimation. Theoretical and practical aspects of its statistical properties are also given. Finally, a numerical and a CMOS delay circuit examples are given. Encouraging results have thus far been obtained

Keywords

MOS integrated circuits; Monte Carlo methods; VLSI; circuit CAD; circuit optimisation; delay circuits; hypercube networks; integrated circuit design; integrated circuit yield; MOS VLSI circuits; average quality index estimation; average quality measure; delay circuit; modified Latin hypercube sampling Monte Carlo; parametric yield estimation; stochastic variables; variance reduction technique; Delay; Fabrication; Hypercubes; Integrated circuit modeling; Monte Carlo methods; Performance evaluation; Sampling methods; Stochastic processes; Very large scale integration; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.621449

Filename

621449