System and method for efficient parallel execution of physical simulations

A method for optimal parallel execution of a simulation of a design, the method comprising:

• extracting, by a computing device, one or more features from the design;
• providing, by the computing device, at least the one or more features as inputs to one or more machine learning models to determine one or more predictions of execution times;
• determining, by the computing device, an optimum execution architecture based on the one or more predictions of execution times;
• and
• distributing, by the computing device, portions of the design for simulation based on the optimum execution architecture.

A non-transitory computer-readable medium having logic stored thereon that, in response to execution by one or more processors of a computing device, cause the computing device to perform actions for training a machine learning model to generate outputs for predicting an optimal parallel execution architecture for simulation of a design, the actions comprising:

• determining, by the computing device, a set of sample designs;
• causing, by the computing device, each sample design to be simulated using at least one hardware configuration;
• determining, by the computing device, a set of features for each simulation, wherein the set of features for each simulation includes a number of segment types of the sample design in the simulation, a total number of segments of the sample design in the simulation, and a characteristic of the hardware configuration of the simulation;
• training, by the computing device, at least one machine learning model using the features for each simulation and the measured performance of each simulation as training data;
• and
• storing, by the computing device, the at least one machine learning model in a model data store.