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A neuro-fuzzy fan speed controller for dynamic thermal management of multi-core processors

Published: 20 May 2014 Publication History

Abstract

Cooling equipments is a thermal management technique that reduces the thermal resistance of the heat sink without any performance degradation. However, higher fan speed produces a lower thermal resistance, but at the expense of higher power consumption. Our proposed Neuro-Fuzzy fan controller (NFSC), minimizes fan power consumption while avoiding the temperature increase above a certain threshold. The experimental results indicate that our proposed model can significantly decrease the average fan power with negligible temperature overhead compared to the traditional fan controller.

References

[1]
Kong, J., Chung, S. W., & Skadron, K. 2012. Recent thermal management techniques for microprocessors. ACM Computing Surveys (CSUR). (Jun. 2012), 44(3), 13.
[2]
Salami, B., Baharani, M., & Noori, H. 2013. An adaptive temperature threshold schema for dynamic thermal management of multi-core processors. In Computer Architecture and Digital Systems (CADS) 2013 17th CSI International Symposium on. (Oct. 2013), 119--120.
[3]
Salami, B., Baharani, M., Noori, H., & Mehdipour, F. 2014. Physical-Aware Task Migration Algorithm for Dynamic Thermal Management of SMT Multi-Core Processors. In Design Automation Conference (ASP-DAC) 2014 19th Asia and South Pacific. (Jan. 2014), 292--297.
[4]
Ayoub, R., Sharifi, S., & Rosing, T. S. 2010. Gentlecool: Cooling aware proactive workload scheduling in multi-machine systems. In Proceedings of the Conference on Design, Automation and Test in Europe. (Mar. 2010), 295--298.
[5]
Lm sensors linux hardware monitoring {Online}. Available: http://www.lm-sensors.org.

Cited By

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  • (2019)Proposed Feature Selection for Dynamic Thermal Management in Multicore SystemsSignal and Data Processing10.29252/jsdp.16.1.12516:1(125-142)Online publication date: 1-May-2019

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Published In

cover image ACM Conferences
CF '14: Proceedings of the 11th ACM Conference on Computing Frontiers
May 2014
305 pages
ISBN:9781450328708
DOI:10.1145/2597917
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 May 2014

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Author Tags

  1. active cooling
  2. close-loop control
  3. dynamic thermal management
  4. neuro-fuzzy
  5. power
  6. temperature

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  • Research-article

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CF'14
Sponsor:
CF'14: Computing Frontiers Conference
May 20 - 22, 2014
Cagliari, Italy

Acceptance Rates

CF '14 Paper Acceptance Rate 28 of 62 submissions, 45%;
Overall Acceptance Rate 273 of 785 submissions, 35%

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CF '25

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Cited By

View all
  • (2019)Proposed Feature Selection for Dynamic Thermal Management in Multicore SystemsSignal and Data Processing10.29252/jsdp.16.1.12516:1(125-142)Online publication date: 1-May-2019

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