In this paper, we have investigated the efficiency of two power-saving strategies that reduces both static and dynamic power consumption when applied to a chip-multiprocessor (CMP). They are evaluated under two workload scenarios and compared against a conventional uni-processor architecture and a CMP without any power-aware scheduling. The results show that energy due to static and dynamic power consumption can be reduced by up to 78% and that further 8% energy can be saved at the expense of response-time of non-critical applications. Furthermore, a small study on the potential impact of system-level events showed that system calls can contribute significantly to the total energy consumed.
%0 Conference Paper
%1 nikitovic2004lowpower
%A Nikitovic, M.
%A Brorsson, M.
%B Design Automation Conference
%D 2004
%K DATE Energy Estimation Optimization Strategy and
%T A Low Power Strategy for Future Mobile Terminals
%U http://date.eda-online.co.uk/proceedings/papers/2004/date04/pdffiles/ip2_04.pdf
%X In this paper, we have investigated the efficiency of two power-saving strategies that reduces both static and dynamic power consumption when applied to a chip-multiprocessor (CMP). They are evaluated under two workload scenarios and compared against a conventional uni-processor architecture and a CMP without any power-aware scheduling. The results show that energy due to static and dynamic power consumption can be reduced by up to 78% and that further 8% energy can be saved at the expense of response-time of non-critical applications. Furthermore, a small study on the potential impact of system-level events showed that system calls can contribute significantly to the total energy consumed.
@inproceedings{nikitovic2004lowpower,
abstract = {In this paper, we have investigated the efficiency of two power-saving strategies that reduces both static and dynamic power consumption when applied to a chip-multiprocessor (CMP). They are evaluated under two workload scenarios and compared against a conventional uni-processor architecture and a CMP without any power-aware scheduling. The results show that energy due to static and dynamic power consumption can be reduced by up to 78% and that further 8% energy can be saved at the expense of response-time of non-critical applications. Furthermore, a small study on the potential impact of system-level events showed that system calls can contribute significantly to the total energy consumed.},
added-at = {2007-04-12T13:21:15.000+0200},
author = {Nikitovic, M. and Brorsson, M.},
biburl = {https://www.bibsonomy.org/bibtex/2abb061863660251a1296d441538e340d/derkling},
booktitle = {Design Automation Conference},
interhash = {ae511263061b21868a0613ce9fc3dd84},
intrahash = {abb061863660251a1296d441538e340d},
keywords = {DATE Energy Estimation Optimization Strategy and},
local = {./AllPapers/2004_DATE_nikitovic2004lowpower.pdf},
timestamp = {2007-04-12T13:21:15.000+0200},
title = {A Low Power Strategy for Future Mobile Terminals},
url = {http://date.eda-online.co.uk/proceedings/papers/2004/date04/pdffiles/ip2_04.pdf},
year = 2004
}