Coordinated management of DVFS and cache partitioning under QoS constraints to save energy in multi-core systems
Artikel i vetenskaplig tidskrift, 2020

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.

Multi-core resource management

Cache partitioning

Quality of service (QoS)

Energy efficiency

Dynamic voltage–frequency scaling (DVFS)


Mehrzad Nejat

Chalmers, Data- och informationsteknik, Datorteknik

Madhavan Manivannan

Chalmers, Data- och informationsteknik, Datorteknik

Miquel Pericas

Chalmers, Data- och informationsteknik, Datorteknik

Per Stenström

Chalmers, Data- och informationsteknik, Datorteknik

Journal of Parallel and Distributed Computing

0743-7315 (ISSN) 1096-0848 (eISSN)

Vol. 144 246-259



Inbäddad systemteknik




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