DocumentCode :
655082
Title :
A Generic Methodology to Derive Empirical Power Consumption Prediction Models for Multi-Core Processors
Author :
Basmadjian, Robert ; Rainer, Sebastian ; de Meer, Hermann
Author_Institution :
Univ. of Passau, Passau, Germany
fYear :
2013
fDate :
Sept. 30 2013-Oct. 2 2013
Firstpage :
167
Lastpage :
174
Abstract :
With the emergence of multi-core processors and their P-states, deriving power consumption models expressed in terms of easily extractable parameters becomes a necessity. In this paper, we introduce a generic methodology to devise power consumption estimation models for multi-core processors. The proposed approach takes into account three metrics: The number of active cores (i.e. executing instructions), frequency and utilization rate of the processor. Consequently, the derived models are expressed in terms of the above-mentioned parameters which can be extracted by any monitoring system. In order to assess the correctness as well as the accuracy of the proposed methodology, an experimental analysis is performed on Intel quad- and hexa-core processors. The results confirm the exactitude of the proposed methodology.
Keywords :
microprocessor chips; multiprocessing systems; power aware computing; Intel quad-core processors; P-states; active cores; empirical power consumption prediction models; experimental analysis; generic methodology; hexa-core processors; multicore processors; processor utilization rate; Analytical models; Computational modeling; Equations; Mathematical model; Multicore processing; Power demand; Predictive models; Power consumption; empirical models; methodology; multi-core processors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Green Computing (CGC), 2013 Third International Conference on
Conference_Location :
Karlsruhe
Type :
conf
DOI :
10.1109/CGC.2013.32
Filename :
6686024
Link To Document :
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