System and method for analog design synthesis using analog cell component library based on ai/ml

A system for determining an analog circuit design for an integrated circuit system using an artificial intelligence/machine learning (AI/ML) model, the system comprising:

• a server that is communicatively coupled with a user device associated with a user, wherein the server comprises,
• a memory that stores a set of instructions;
• and
• a processor that executes the set of instructions and is configured to,
• generate a behavioral model of an analog macro using the AI/ML model;
• determine at least one operation that is required to implement the behavioral model by scanning the behavioral model of the analog macro, wherein the at least one operation is configured with a plurality of analog macro blocks to a behavioral architectural implementation;
• select, using the AI/ML model, the analog macro based on at least one specification that corresponds to the analog macro, wherein the at least one specification comprises required components for the analog macro, wherein the analog macro comprises a plurality of leaf cells;
• synthesize, the analog macro that is selected by the AI/ML model 214 and the plurality of leaf cells for each selected analog macro of the behavioral architectural implementation to obtain a gate level circuit design based on a figure of merit (FoM) of the analog macro, wherein the analog macro that is selected is used for synthesizing whose FoM is above a threshold optimum FoM for the analog circuit design;
• and
• determine, using the AI/ML model, the analog circuit design for the integrated circuit system based on the gate level circuit design that is synthesized.

One or more non-transitory computer-readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes a method for determining an analog circuit design for an integrated circuit system using an artificial intelligence and machine learning (AI/ML) model, the method comprising:

• generating a behavioral model of an analog macro using the AI/ML model;
• determining at least one operation that is required to implement the behavioral model by scanning the behavioral model of the analog macro, wherein the at least one operation is configured with a plurality of analog macro blocks to a behavioral architectural implementation;
• selecting, using the AI/ML model, the analog macro based on at least one specification that corresponds to the analog macro, wherein the at least one specification comprises required components for the analog macro, wherein the analog macro comprises a plurality of leaf cells;
• synthesizing, the analog macro that is selected by the AI/ML model 214 and the plurality of leaf cells for each selected analog macro of the behavioral architectural implementation to obtain a gate level circuit design based on a figure of merit (FoM) of the analog macro, wherein the analog macro that is selected is used for synthesizing whose FoM is above a threshold optimum FoM for the analog circuit design;
• and
• determining, using the AI/ML model, the analog circuit design for the integrated circuit system based on the gate level circuit design that is synthesized.