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User-space APIs for dynamic power management in many-core ARMv8 computing nodes
User-space APIs for dynamic power management in many-core ARMv8 computing nodes
The push for energy-efficient and energy-proportional computing nodes, together with the increasing number of cores integrated in the same silicon die has lead to computing nodes with fine grained power management capabilities. To unleash the potential of this HW design a novel user-space power management APIs is needed to bring fine-grain power management in the hands of the programmer. In this work we present a novel programming mechanism for energy efficiency which is build around novel user-space power management APIs suitable to be embedded in user-space applications. We evaluated its timing and power saving performance on a novel computing node based on Cavium ThunderX ARMv8-based many-cores SoC.
- ETH Zurich Switzerland
- Alma Mater Studiorum University of Bologna Italy
Microsoft Academic Graph classification: Power management Dynamic power management Computer science business.industry Power saving Many core Embedded system Node (computer science) User space Programmer business Efficient energy use
Computer Networks and Communication, Computational Theory and Mathematic, Modeling and Simulation, Numerical Analysi
Computer Networks and Communication, Computational Theory and Mathematic, Modeling and Simulation, Numerical Analysi
Microsoft Academic Graph classification: Power management Dynamic power management Computer science business.industry Power saving Many core Embedded system Node (computer science) User space Programmer business Efficient energy use
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- ETH Zurich Switzerland
- Alma Mater Studiorum University of Bologna Italy
The push for energy-efficient and energy-proportional computing nodes, together with the increasing number of cores integrated in the same silicon die has lead to computing nodes with fine grained power management capabilities. To unleash the potential of this HW design a novel user-space power management APIs is needed to bring fine-grain power management in the hands of the programmer. In this work we present a novel programming mechanism for energy efficiency which is build around novel user-space power management APIs suitable to be embedded in user-space applications. We evaluated its timing and power saving performance on a novel computing node based on Cavium ThunderX ARMv8-based many-cores SoC.