Resource estimation for implementing circuit designs within an integrated circuit

A system, comprising:

• one or more processors configured to initiate operations including:
• detecting a plurality of Intellectual Property (IP) cores within a circuit design;
• extracting, from the circuit design, parameterizations for the plurality of IP cores as used in the circuit design;
• selecting a machine learning model corresponding to each IP core, wherein each selected machine learning model is specific to the corresponding IP core;
• providing to each selected machine learning model as input a target integrated circuit (IC) for the circuit design and the parameterization for the corresponding IP core;
• and
• generating, by executing the selected machine learning models, an estimate of resource usage for the circuit design, wherein the resource usage specifies an amount of resources of the target IC needed to implement the circuit design in the target IC.

A computer program product, comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, wherein the program instructions are executable by computer hardware to initiate operations including:
• detecting a plurality of Intellectual Property (IP) cores within a circuit design;
• extracting, from the circuit design, parameterizations for the plurality of IP cores as used in the circuit design;
• selecting a machine learning model corresponding to each IP core, wherein each selected machine learning model is specific to the corresponding IP core;
• providing to each selected machine learning model as input a target integrated circuit (IC) for the circuit design and the parameterization for the corresponding IP core;
• and
• generating, by executing the selected machine learning models, an estimate of resource usage for the circuit design, wherein the resource usage specifies an amount of resources of the target IC needed to implement the circuit design in the target IC.