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

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Authors
Abad, Javad Mohebbi Najm
Salami, Bagher
Noori, Hamid
Soleimani, Ali
Madipour, Farhad
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Degree
Grantor
Date
2014-05
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Type
Conference Contribution - Paper in Published Proceedings
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
energy efficiency
reliability
active cooling
close-loop control
dynamic thermal management
neuro-fuzzy
multi-core processors
ANZSRC Field of Research Code (2020)
Citation
Abad, J. M. N. ; Salami, B. ; Noori, H. ; Soleimani, A. ; Mehdipour, F. (2014, May). A Neuro-Fuzzy Fan Speed Controller for Dynamic Thermal Management of Multi-core Process. Association for Computing Machinery (ACM) (Ed.), CF '14 Proceedings of the 11th ACM Conference on Computing Frontiers (pp.29-33).
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.
Publisher
ACM DL (Digital Library)
Link to ePress publication
DOI
doi:10.1145/2597917.2597958
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