Placement Using a Localization Probability Model (LPM)

  • Authors:
  • Markus Olbrich;Erich Barke

  • Affiliations:
  • -;-

  • Venue:
  • Proceedings of the conference on Design, automation and test in Europe - Volume 2
  • Year:
  • 2004

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Abstract

We propose a new placement model for global placement. This model uses probabilities to localize the cells. It enables arbitrary levels of placement abstraction. Wire-length estimations at any level can be derived from the model. We present a new placer, that uses a special variant of the proposed model. Examples show that the model properties improve placement quality.