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Home » Lucky Scheduling for Energy-Efficient Heterogeneous Multi-Core Systems
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Lucky Scheduling for Energy-Efficient Heterogeneous Multi-Core Systems

Authors: 

Vinicius Petrucci and Orlando Loques, Universidade Federal Fluminense; Daniel Mossé, University of Pittsburgh

Abstract: 

Heterogeneous multi-core processors with big/high-performance and small/low-power cores have been proposed as an alternative design to improve energy efficiency over traditional homogeneous multi-cores. We make the case for proportional-share scheduling of threads in heterogeneous processor cores aimed at improving combined energy efficiency and performance. Our thread scheduling algorithm, lucky, is based on lottery scheduling and has been implemented using Linux performance monitoring and thread-to-core affinity capabilities at user-level. Our preliminary results show that lucky scheduling can provide better performance and energy savings over state-of-the-art heterogeneous-aware scheduling techniques. 

Vinivius Petrucci, Universidade Federal Fluminense

Orlando Loques, Universidade Federal Fluminense

Daniel Mosse, University of Pittsburgh

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