Name
Abstract | ||
|---|---|---|
Achieving high energy efficiency is a primary design objective for multi-core systems. Dynamic voltage and frequency scaling (DVFS) is one of the most widely-adopted low-power techniques. In this paper, we present a reinforcement learning-based DVFS control approach to reduce energy consumption under user-specified performance requirements. The learning agent periodically selects the voltage and f... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISCAS51556.2021.9401447 | 2021 IEEE International Symposium on Circuits and Systems (ISCAS) |
Keywords | DocType | ISSN |
Energy consumption,Runtime,Multicore processing,System performance,Power system management,Reinforcement learning,Synchronization | Conference | 0271-4302 |
ISBN | Citations | PageRank |
978-1-7281-9201-7 | 0 | 0.34 |
References | Authors | |
0 | 5 | |