Parameterized macromodeling for analog system-level design exploration


Conference Paper

In this paper we propose a novel parameterized macromodeling technique for analog circuits. Unlike traditional macromodels that are only extracted for a small variation space, our proposed approach captures a significantly larger analog design space to facilitate system-level design exploration. Combining a novel piece-wise approximation algorithm and a new multi-point model-order-reduction approach, the proposed method generates compact macromodels covering the entire feasible design space. Our experiments demonstrate that using such models can achieve more than 60× speed-up while incurring less than 4% overall error when varying design parameters by an order of magnitude. Copyright 2007 ACM.

Full Text

Duke Authors

Cited Authors

  • Wang, J; Li, X; Pileggi, LT

Published Date

  • August 2, 2007

Published In

Start / End Page

  • 940 - 943

International Standard Serial Number (ISSN)

  • 0738-100X

International Standard Book Number 10 (ISBN-10)

  • 1595936270

International Standard Book Number 13 (ISBN-13)

  • 9781595936271

Digital Object Identifier (DOI)

  • 10.1109/DAC.2007.375299

Citation Source

  • Scopus