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

Abad, Javad Mohebbi Najm; Salami, Bagher; Noori, Hamid; Soleimani, Ali; Madipour, Farhad

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Date
2014-05
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).
Permanent link to Research Bank record:
https://hdl.handle.net/10652/3815
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.
Keywords:
energy efficiency, reliability, active cooling, close-loop control, dynamic thermal management, neuro-fuzzy, multi-core processors
ANZSRC Field of Research:
0906 Electrical and Electronic Engineering
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http://dl.acm.org/citation.cfm?id=2597917
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