A DVFS Design and Simulation Framework Using Machine Learning Models

Dynamic voltage and frequency scaling (DVFS) is an essential approach to optimize the performance and energy tradeoff. In this article, learning models predict the workload and then estimate the corresponding power and thermal dissipation. The proposed framework utilizes a deep reinforcement learning (DRL)-based controller. —Ulf Schlichtmann, Technical University of Munich