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Generation of reduced analog circuit models using transient simulation traces

Published: 20 May 2014 Publication History

Abstract

The generation of fast models for device level circuit descriptions is a very active area of research. Model order reduction is an attractive technique for dynamical models size reduction. In this paper, we propose an approach based on clustering, curve-fitting, linearization and Krylov space projection to build reduced models for nonlinear analog circuits. We demonstrate our model order reduction method for three nonlinear circuits: a voltage controlled oscillator, an operational amplifier and a digital frequency divider. Our experimental results show that the reduced models lead to an improvement in simulation speed while guaranteeing the representation of the behavior of the original circuit design.

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Cited By

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  • (2016)Enhancing Model Order Reduction for Nonlinear Analog Circuit SimulationIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2015.242145024:3(1036-1049)Online publication date: 1-Mar-2016

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  1. Generation of reduced analog circuit models using transient simulation traces

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    cover image ACM Conferences
    GLSVLSI '14: Proceedings of the 24th edition of the great lakes symposium on VLSI
    May 2014
    376 pages
    ISBN:9781450328166
    DOI:10.1145/2591513
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 20 May 2014

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    Author Tags

    1. analog circuits
    2. curve-fitting
    3. krylov space
    4. model order reduction

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    GLSVLSI '14
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    GLSVLSI '14: Great Lakes Symposium on VLSI 2014
    May 21 - 23, 2014
    Texas, Houston, USA

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    GLSVLSI '14 Paper Acceptance Rate 49 of 179 submissions, 27%;
    Overall Acceptance Rate 312 of 1,156 submissions, 27%

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    • (2016)Enhancing Model Order Reduction for Nonlinear Analog Circuit SimulationIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2015.242145024:3(1036-1049)Online publication date: 1-Mar-2016

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