Abstract: Certain aspects are directed to apparatus and techniques for estimating parasitic information associated with routing of a design using a pre-route version of the design. One example method generally includes determining one or more output features using a machine learning model based on a pre-route version of a design of an integrated circuit, where the one or more output features include a density map providing an estimate of a density of elements associated with a routed version of the design. The method also includes estimating parasitic information associated with the design based on the one or more output features, and outputting the parasitic information.

Abstract: Nodes in microdevice design data are selected to form initial clusters. Typically the nodes are selected based upon the type of process to be performed on the design data. The initial clusters are then be grown, merged with other nodes, or come combination of both until the processing costs of the final clusters are compatible with the amount of resources that will be used to process the design data.