Computation locality utilization based on an application instruction set

A method during a runtime of an information handling system, the method comprising:

• determining, by an embedded controller of the information handling system, an application to be executed within the information handling system;
• tracking variables for the application for a predetermined amount of time;
• generating a feature matrix for the application based on the tracked variables;
• determining an inference for the application based on an auto-encoder within a hardware selection machine learning model;
• based on a characterization of the application, determining a different normalized mutual information score for each hardware class within the information handling system, wherein each of the different normalized mutual information scores are determined based on both the feature matrix and the determined inference;
• determining a different maximum score for each of the hardware classes;
• and
• migrating, by the embedded controller, the application to a component of a hardware class having a highest score.

An information handling system comprising:

• a memory configured to store a hardware selection machine learning model;
• and
• an embedded controller configured to execute the hardware selection machine learning model, and during a runtime of the information handling system the embedded controller configured to:
• determine an application to be executed within the information handling system;
• track variables for the application for a predetermined amount of time;
• generate a feature matrix for the application based on the tracked variables;
• determine an inference for the application based on an auto-encoder within the hardware selection machine learning model;
• based on both the feature matrix and the determined inference, determine a different normalized mutual information score for each hardware class within the information handling system;
• determine a different maximum score for each of the hardware classes, wherein each of the different maximum scores for the hardware classes are different efficiency scores for the hardware classes;
• and
• migrate the application to a component of a hardware class having a highest score.