User Interaction Aware Reinforcement Learning for Power and Thermal Efficiency of CPU-GPU Mobile MPSoCs

@article{Dey2020UserIA,
  title={User Interaction Aware Reinforcement Learning for Power and Thermal Efficiency of CPU-GPU Mobile MPSoCs},
  author={Somdip Dey and Amit Kumar Singh and Xiaohang Wang and Klaus Dieter Mcdonald-Maier},
  journal={2020 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
  year={2020},
  pages={1728-1733}
}
Mobile user’s usage behaviour changes throughout the day and the desirable Quality of Service (QoS) could thus change for each session. In this paper, we propose a QoS aware agent to monitor mobile user’s usage behaviour to find the target frame rate, which satisfies the desired user’s QoS, and applies reinforcement learning based DVFS on a CPU-GPU MPSoC to satisfy the frame rate requirement. Experimental study on a real Exynos hardware platform shows that our proposed agent is able to achieve… Expand
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