Placement using a localization probability model (LPM)

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.