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https://doi.org/10.1109/e2sc.2...
Article . 2016 . Peer-reviewed
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Software Controlled Clock Modulation for Energy Efficiency Optimization on Intel Processors

Authors: Schone, Robert; Ilsche, Thomas; Bielert, Mario; Molka, Daniel; Hackenberg, Daniel;

Software Controlled Clock Modulation for Energy Efficiency Optimization on Intel Processors

Abstract

Current Intel processors implement a variety of power saving features like frequency scaling and idle states. These mechanisms limit the power draw and thereby decrease the thermal dissipation of the processors. However, they also have an impact on the achievable performance. The various mechanisms significantly differ regarding the amount of power savings, the latency of mode changes, and the associated overhead. In this paper, we describe and closely examine the so-called software controlled clock modulation mechanism for different processor generations. We present results that imply that the available documentation is not always correct and describe when this feature can be used to improve energy efficiency. We additionally compare it against the more popular feature of dynamic voltage and frequency scaling and develop a model to decide which feature should be used to optimize inter-process synchronizations on Intel Haswell-EP processors.

Country
Germany
Related Organizations
Keywords

ddc:004, Mikroprozessoren, Intel, Hardware-Analyse, Performance-Analyse, Systemmodellierung, Taktmodulation, Dynamic voltage and frequency scaling, Energieeffizienz, info:eu-repo/classification/ddc/004, Microprocessors, Intel, Hardware analysis, Performance analysis, Systems modeling, Clock modulation, Dynamic voltage and frequency scaling, Energy efficiency

  • BIP!
    Impact byBIP!
    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).
    11
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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).
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!
11
Top 10%
Top 10%
Average
Green