Reducing the energy expended to carry out a computational task is important. In this work, we explore the prospects of meeting Quality-of-Service requirements of tasks on a multi-core system while adjusting resources to expend a minimum of energy. This paper considers, for the first time, a QoS-driven coordinated resource management algorithm (RMA) that dynamically adjusts the size of the per-core last-level cache partitions and the per-core voltage-frequency settings to save energy while respecting QoS requirements of every application in multi-programmed workloads run on multi-core systems. It does so by doing configuration-space exploration across the spectrum of LLC partition sizes and Dynamic Voltage Frequency Scaling (DVFS) settings at runtime at negligible overhead. We show that the energy of 4-core and 8-core systems can be reduced by up to 18% and 14%, respectively, compared to a baseline with even distribution of cache resources and a fixed mid-range core voltage-frequency setting. The energy savings can potentially reach 29% if the QoS targets are relaxed to 40% longer execution time.
@article{arxiv.1911.05101,
title = {Coordinated Management of DVFS and Cache Partitioning under QoS Constraints to Save Energy in Multi-Core Systems},
author = {Mehrzad Nejat and Madhavan Manivannan and Miquel Pericas and Per Stenstrom},
journal= {arXiv preprint arXiv:1911.05101},
year = {2019}
}
Comments
Submitted to the Journal of Parallel and Distributed Computing (Nov 2019)