Journal of Parallel and Distributed Computing, ( ISI ), Volume (95), No (1), Year (2016-3) , Pages (42-56)

Title : ( Physical-aware predictive dynamic thermal management of multi-core processors )

Authors: Bagher Salami , Hamid Noori , Farhad Mehdipour , Mohammadreza Baharani ,

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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 aging, 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.


, Dynamic thermal management, Multi-core processors, Task migration, DVFS, Physical
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author = {Salami, Bagher and Noori, Hamid and Farhad Mehdipour and Mohammadreza Baharani},
title = {Physical-aware predictive dynamic thermal management of multi-core processors},
journal = {Journal of Parallel and Distributed Computing},
year = {2016},
volume = {95},
number = {1},
month = {March},
issn = {0743-7315},
pages = {42--56},
numpages = {14},
keywords = {Dynamic thermal management; Multi-core processors; Task migration; DVFS; Physical features},


%0 Journal Article
%T Physical-aware predictive dynamic thermal management of multi-core processors
%A Salami, Bagher
%A Noori, Hamid
%A Farhad Mehdipour
%A Mohammadreza Baharani
%J Journal of Parallel and Distributed Computing
%@ 0743-7315
%D 2016