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Approximation Knob: Power Capping Meets Energy Efficiency
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2016 (English)In: 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), Institute of Electrical and Electronics Engineers (IEEE), 2016Conference paper, Published paper (Refereed)
Abstract [en]

Power Capping techniques are used to restrict power consumption of computer systems to a thermally safe limit. Current many-core systems employ dynamic voltage and frequency scaling (DVFS), power gating (PG) and scheduling methods as actuators for power capping. These knobs are oriented towards power actuation, while the need for performance and energy savings are increasing in the dark silicon era. To address this, we propose approximation (APPX) as another knob for close-looped power management, lending performance and energy efficiency to existing power capping techniques. We use approximation in a pro-active way for long-term performance-energy objectives, complementing the short-term reactive power objectives. We implement an approximation-enabled power management framework, APPEND, that dynamically chooses an application with appropriate level of approximation from a set of variable accuracy implementations. Subject to the system dynamics, our power manager chooses an effective combination of knobs APPX, DVFS and PG, in a hierarchical way to ensure power capping with performance and energy gains. Our proposed approach yields 1.5x higher throughput, improved latency upto 5x, better performance per energy and dark silicon mitigation compared to state-of-the-art power management techniques over a set of applications ranging from high to no error resilience.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016.
Series
ICCAD-IEEE ACM International Conference on Computer-Aided Design, ISSN 1933-7760
Keywords [en]
Dynamic Power Management, Power Capping, Approximate Computing
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-199777DOI: 10.1145/2966986.2967002ISI: 000390297800122Scopus ID: 2-s2.0-85001118266ISBN: 978-1-4503-4466-1 (print)OAI: oai:DiVA.org:kth-199777DiVA, id: diva2:1067181
Conference
35th IEEE/ACM International Conference on Computer-Aided Design (ICCAD), NOV 07-10, 2016, Austin, TX
Note

QC 20170120

Available from: 2017-01-20 Created: 2017-01-16 Last updated: 2018-01-13Bibliographically approved

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Tenhunen, Hannu

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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