Semiconductor design automation system and computing system including the same

A semiconductor design automation system comprising:

• an automation module comprising a simulator configured to generate simulation data, a recovery module configured to correct a sampling error of the simulation data to generate recovery simulation data, a hardware data module configured to generate real data, and a preprocessing module configured to preprocess the real data to generate preprocessed real data;
• a database configured to store the recovery simulation data and the preprocessed real data;
• an adjustment maintain module comprising a first graphic user interface, wherein the first graphic user interface comprises an automatic simulation generator configured to generate a machine learning model of the recovery simulation data and the preprocessed real data stored in the database, and to generate predicted real data therefrom;
• and
• a virtualization visualization module comprising a second graphic user interface including a visualization unit configured to generate a visualized virtualization process result from the machine learning model.

A computing system comprising:

• an input/output device;
• a processor configured to control the input/output device;
• and
• a memory comprising a non-transitory computer readable storage medium configured to store a semiconductor design automation simulation program that is configured to be executed by the processor, wherein the semiconductor design automation simulation program comprises:
• a simulator configured to generate simulation data;
• a recovery module configured to correct a sampling error of the simulation data to generate recovery simulation data;
• a hardware data module configured to generate real data;
• and
• a preprocessing module configured to preprocess the real data to generate preprocessed real data,
• wherein the computing system further comprises:
• a database configured to store the recovery simulation data and the preprocessed real data;
• a first graphic user interface comprising an automatic simulation generator configured to generate a machine learning model of the recovery simulation data and the preprocessed real data stored in the database, and generate predicted real data therefrom;
• and
• a second graphic user interface including a visualization unit configured to generate a visualized virtualization process result from the machine learning model.