학술논문
A DVFS Design and Simulation Framework Using Machine Learning Models
Document Type
Periodical
Source
IEEE Design & Test IEEE Des. Test Design & Test, IEEE. 40(1):52-61 Feb, 2023
Subject
Language
ISSN
2168-2356
2168-2364
2168-2364
Abstract
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