Coordinated management of DVFS and cache partitioning under QoS constraints to save energy in multi-core systems

Nejat, Mehrzad,1989Chalmers tekniska högskola,Chalmers University of Technology (författare)

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.

Manivannan, Madhavan,1986Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)madhavan (författare)
Pericas, Miquel,1979Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)miquelp (författare)
Stenström, Per,1957Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)pers (författare)
Chalmers tekniska högskola (creator_code:org_t)

Ingår i:Journal of Parallel and Distributed Computing: Elsevier BV144, s. 246-2591096-08480743-7315

Av författaren/redakt...: Nejat, Mehrzad, ...; Manivannan, Madh ...; Pericas, Miquel, ...; Stenström, Per, ...

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