Execution time prediction for energy-efficient computer systems

A computer program product comprising a computer-readable non-transitory program medium having code stored thereon, the code, when executed, causing a processor to implement a method of using prediction-guided resource allocation technologies to improve energy efficiency while meeting response-time requirement for software applications, the method comprising:

• generating a plurality of program features that impact execution time of a plurality of program tasks;
• predicting execution time of the plurality of program tasks on one or more computing cores using the plurality of program features, wherein each of the plurality of program feature is mapped to an execution time estimate on a selected computing core;
• and
• controlling resources for the one or more computing cores based on a predicted execution time of the plurality of program tasks.

An apparatus using prediction-guided resource allocation technologies to improve energy efficiency while meeting response-time requirement for computer hardware systems, comprising:

• a logic module including a control unit, comprising one or more finite state machines (FSMs), for handling input requests and output responses and generating control signals, and a data-path module for performing computation on input requests to generate output data and signals;
• one or more computing cores;
• and
• a prediction controller that records execution time of a plurality of features during training runs by Register Transfer Level (RTL) instrumentation and analysis, wherein the plurality of features impact execution time of a task associated with a deadline;
• predicts execution time of the task on the one or more computing cores using the plurality of features, wherein each of the plurality of feature is mapped to an execution time estimate on a selected computing core based on data from the training runs;
• and controls resources for the one or more computing core based on a predicted execution time of the task.