20250173490. System Method Training (ARTERIS, .)

SYSTEM AND METHOD FOR TRAINING A NEURAL LEARNING MODEL FOR PREDICTING PERFORMANCE, POWER AND AREA BEHAVIOR OF IP COMPONENTS IN INTEGRATED CIRCUIT DESIGN

Abstract: a system, and corresponding method, is described for training a neural learning model and using the neural learning model to predict the physical behavior of ip from an hdl representation of the ip. the generated data is used for training and testing the neural learning model by treating the logical parameters and physical parameters subset as one for the ip block. the system digitizes the non-numerical parameters. the method compresses timing arcs. the system uses the trained neural learning model to characteristic behavior for an ip block directly from the combined vector of logical parameter values and physical parameter values.

Inventor(s): Benny WINEFELD

CPC Classification: G06F30/327 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ))

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