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A Light-Weight Scheduler for Single-ISA Asymmetric Multi-core Processor Using Online Profiling

Authors: Yuanchao Xu 0003; Lin Du; Zhimin Zhang;

A Light-Weight Scheduler for Single-ISA Asymmetric Multi-core Processor Using Online Profiling

Abstract

Single-ISA asymmetric multi-core processors are thought as next generation emerging multi-core architecture which has better performance per watt over symmetric multi-core processors. However, they also pose unique challenges to operating system, which traditionally assume homogeneous hardware. These challenges include how to analyze program behavior dynamically in kernel with low overhead, how to modify traditional scheduling algorithm using new load-balance policy that CPU-intensive tasks have fast cores bias, whereas memory-intensive have slow core bias, how to make Linux kernel asymmetric-aware and reevaluate the load of each core of different type. We propose a light-weight operating system scheduler and successfully solve above problems with negligible overhead and no assumption. We modified Linux kernel 2.6.18 with cpufreq and perfctr driver and finally used Power Now technology to emulate performance asymmetry. Experimental results show that our scheduler outperforms default scheduler and still maintains good fairness, high efficiency and repeatable.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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