DocumentCode :
2052898
Title :
Improving the performance of thermally constrained multi core processors using DTM techniques
Author :
Lawrence, W.S. ; Kumar, P. Roshan
Author_Institution :
K.S. Rangasamy Coll. of Technol., Tiruchengode, India
fYear :
2013
fDate :
21-22 Feb. 2013
Firstpage :
1035
Lastpage :
1040
Abstract :
Extracting high performance from multi-core processors requires increased use of dynamic thermal management techniques. This paper presents performance optimal online thermal management techniques for multi-core processors. The techniques include dynamic voltage and frequency scaling and task-to-core allocation or task migration. The problem formulation includes accurate power and thermal models, as well as leakage dependence on temperature. The effectiveness of our DVFS and task-to-core allocation techniques are demonstrated by numerical simulations. The proposed task to-core allocation method showed a 20.2% improvement in performance over a power-based thread migration approach.
Keywords :
multiprocessing systems; power aware computing; DTM techniques; DVFS; dynamic thermal management techniques; dynamic voltage; frequency scaling; leakage dependence; power-based thread migration approach; task migration; task-to-core allocation techniques; thermally constrained multi core processors; Computational modeling; Multicore processing; Power demand; Program processors; Resource management; Thermal management; Threshold voltage; dynamic voltage and frequency scaling; leakage dependence on temperature; makespan minimization; multi-core; performance optimization; task migration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
Type :
conf
DOI :
10.1109/ICICES.2013.6508292
Filename :
6508292
Link To Document :
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