Abstract: In an approach to standard cell differentiation using topology and transistor attributes, a first circuit representation of an unidentified cell is received. The first circuit representation of the unidentified cell is converted to a first graph. A second circuit representation of each of one or more golden reference cells are retrieved. The second circuit representation of each of the one or more golden reference cells are converted to one or more second graphs. The first graph is matched to each of the one or more second graphs. One or more match results are reported based on the matching of the first graph to each of the one or more second graphs.

Abstract: The present disclosure provides a method for generating a spatially resolved netlist that includes generating a netlist based on integrated circuit (IC) layout data and standard cell library data, the netlist including cell and net definitions associated with the IC; determining position data for respective cells and nets based on the IC layout data; mapping the position data to respective cell and net definitions in the netlist; and generating a spatially resolved netlist that includes the mapped position data to respective cell and net definitions.

Abstract: A knowledge-based system and methods to matchmaking and social network extension are disclosed. The system is configured to allow users to specify knowledge profiles, which are collections of concepts that indicate a certain topic or area of interest selected from an. The system utilizes the knowledge model as the semantic space within which to compare similarities in user interests. The knowledge model is hierarchical so that indications of interest in specific concepts automatically imply interest in more general concept. Similarity measures between profiles may then be calculated based on suitable distance formulas within this space.

Abstract: A knowledge-based system and methods to matchmaking and social network extension are disclosed. The system is configured to allow users to specify knowledge profiles, which are collections of concepts that indicate a certain topic or area of interest selected from an. The system utilizes the knowledge model as the semantic space within which to compare similarities in user interests. The knowledge model is hierarchical so that indications of interest in specific concepts automatically imply interest in more general concept. Similarity measures between profiles may then be calculated based on suitable distance formulas within this space.