Paper Info
Title
Coordinated Management of DVFS and Cache Partitioning under QoS Constraints to Save Energy in Multi-Core Systems
Abstract
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.
Year
DOI
Venue
2020
10.1016/j.jpdc.2020.05.006
Journal of Parallel and Distributed Computing
Keywords
DocType
Volume
Energy efficiency,Quality of service (QoS),Dynamic voltage–frequency scaling (DVFS),Cache partitioning,Multi-core resource management
Journal
144
ISSN
Citations 
PageRank 
0743-7315
1
0.35
References 
Authors
0
4
Name
Order
Citations
PageRank
Nejat Mehrzad110.35
Madhavan Manivannan2246.21
Pericas Miquel310.35
Per Stenström43048234.09