Hierarchical and Lightweight Imitation Learning for Power Management of Embedded Socs

This technology involves an imitation learning based power management system for use in embedded systems-on-chips (SoCs). Background: As technology advances, systems-on-chips (SoCs) need to be able to operate more efficiently to keep up with mult…

This technology involves an imitation learning-based power management system used in embedded systems-on-chips (SoCs).

Background:
As technology advances, systems-on-chips (SoCs) need to operate more efficiently to keep up with multiple rapidly adopting technologies. Many SoCs struggle with dynamic power management and need to be able to adapt to runtime decisions for numerous objectives. However, current systems do not have these capabilities.

This technology improves upon current state-of-the-art solutions in terms of energy efficiency and runtime-aware decisions.

Applications:

  • Systems-on-Chips

Advantages:

  • Improved energy efficiency
  • Runtime aware decisions
  • Better than current state-of-the-art systems

Contact Information

TTO Home Page: https://arizona.technologypublisher.com

Name: Brett Mortenson

Title: Licensing Manager, College of Engineering

Email: BrettM@tla.arizona.edu