Physical-aware predictive dynamic thermal management of multi-core processors
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Other Title
Authors
Salami, Bagher
Noori, Hamid
Madipour, Farhad
Baharani, Mohammadreza
Noori, Hamid
Madipour, Farhad
Baharani, Mohammadreza
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2016-03-30
Supervisors
Type
Journal Article
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
dynamic thermal management
multi-core processors
task migration
dynamic voltage and frequency scaling (DVFS)
multi-core processors
task migration
dynamic voltage and frequency scaling (DVFS)
ANZSRC Field of Research Code (2020)
Citation
Salami, B., Noori, H., Mahdipour, F., & Baharani, M. (2016). Physical-aware predictive dynamic thermal management of multi-core processors. Journal of Parallel and Distributed Computing, 95, pp.42-56. doi:10.1016/j.jpdc.2016.03.008
Abstract
The advances in silicon process technology have made it possible to have processors with larger number of cores. The increment of cores number has been hindered by increasing power consumption and heat dissipation due to high power expenditure in a small area die size. The high temperature can cause degradation in performance, reliability, transistor ageing, transition speed and increase in leakage current. In this paper, we present a method which considers different thermal behavior of cores and uses both physical sensors and performance counters simultaneously to improve thermal management of both SMT multi-core processors with a physical sensor per core and Non-SMT multi-core processors with only one physical sensor for the processor. The experimental results indicate that our technique can significantly decrease the average and peak temperature in most cases compared to Linux standard scheduler, and two well-known thermal management techniques: PDTM, and TAS.
Publisher
Elsevier
Permanent link
Link to ePress publication
DOI
doi:10.1016/j.jpdc.2016.03.008
Copyright holder
Elservier
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