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|Title:||Price theory based power management for heterogeneous multi-cores|
|Source:||Muthukaruppan, T.S., Pathania, A., Mitra, T. (2014). Price theory based power management for heterogeneous multi-cores. International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS : 161-176. ScholarBank@NUS Repository. https://doi.org/10.1145/2541940.2541974|
|Abstract:||Heterogeneous multi-cores that integrate cores with different power-performance characteristics are promising alternatives to homogeneous systems in energy- and thermally constrained environments. However, the heterogeneity imposes significant challenges to power-aware scheduling. We present a price theory-based dynamic power management framework for heterogeneous multi-cores that co-ordinates various energy savings opportunities, such as dynamic voltage/ frequency scaling, load balancing, and task migration in tandem, to achieve the best power-performance characteristics. Unlike existing centralize power management frameworks, ours is distributed and hence scalable with minimal runtime overhead. We design and implement the framework within Linux operating system on ARM big. LITTLE heterogeneous multi-core platform. Experimental evaluation confirms the advantages of our approach compared to the state-of-the-art techniques for power management in heterogeneous multi-cores. Copyright © 2014 ACM.|
|Source Title:||International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS|
|Appears in Collections:||Staff Publications|
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