Integer programming based topology selection of cell-level analog circuits

Prabir C. Maulik; L. Richard Carley; Rob A. Rutenbar

doi:10.1109/43.372366

Integer programming based topology selection of cell-level analog circuits

Prabir C. Maulik
, L. Richard Carley
, Rob A. Rutenbar

Research output: Contribution to journal › Article › peer-review

Abstract

A new approach to cell-level analog circuit synthesis is presented. This approach formulates analog synthesis as a Mixed-Integer Nonlinear Programming (MINLP) problem in order to allow simultaneous topology and parameter selection. Topology choices are represented as binary integer variables and design parameters (e.g., device sizes and bias voltages) as continuous variables. Examples using a Branch and Bound method to efficiently solve the MINLP problem for CMOS two-stage op amps are given.

Original language	English (US)
Pages (from-to)	401-412
Number of pages	12
Journal	IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume	14
Issue number	4
DOIs	https://doi.org/10.1109/43.372366
State	Published - 1995
Externally published	Yes

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering

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10.1109/43.372366

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abstract = "A new approach to cell-level analog circuit synthesis is presented. This approach formulates analog synthesis as a Mixed-Integer Nonlinear Programming (MINLP) problem in order to allow simultaneous topology and parameter selection. Topology choices are represented as binary integer variables and design parameters (e.g., device sizes and bias voltages) as continuous variables. Examples using a Branch and Bound method to efficiently solve the MINLP problem for CMOS two-stage op amps are given.",

author = "Maulik, \{Prabir C.\} and Carley, \{L. Richard\} and Rutenbar, \{Rob A.\}",

note = "Manuscript received June 1, 1993; revised October 5, 1994. This work was supported in part by the Semiconductor Research Corporation under Contract 91-DC-068. This paper was recommended by Associate Editor J. White.",

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AU - Carley, L. Richard

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N2 - A new approach to cell-level analog circuit synthesis is presented. This approach formulates analog synthesis as a Mixed-Integer Nonlinear Programming (MINLP) problem in order to allow simultaneous topology and parameter selection. Topology choices are represented as binary integer variables and design parameters (e.g., device sizes and bias voltages) as continuous variables. Examples using a Branch and Bound method to efficiently solve the MINLP problem for CMOS two-stage op amps are given.

AB - A new approach to cell-level analog circuit synthesis is presented. This approach formulates analog synthesis as a Mixed-Integer Nonlinear Programming (MINLP) problem in order to allow simultaneous topology and parameter selection. Topology choices are represented as binary integer variables and design parameters (e.g., device sizes and bias voltages) as continuous variables. Examples using a Branch and Bound method to efficiently solve the MINLP problem for CMOS two-stage op amps are given.

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Integer programming based topology selection of cell-level analog circuits

Abstract

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