https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Chen_et_al_2014fChen et al 2014f - Revision history2026-05-09T07:59:20ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Chen_et_al_2014f&diff=194073&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 435848058 to Chen et al 2014f2021-01-28T20:20:58Z<p>Scipediacontent moved page <a href="/public/Draft_Content_435848058" class="mw-redirect" title="Draft Content 435848058">Draft Content 435848058</a> to <a href="/public/Chen_et_al_2014f" title="Chen et al 2014f">Chen et al 2014f</a></p>
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== Abstract ==<br />
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Energy efficiency is a critical design concern for embedded systems. Dynamic power management (DPM) schemes in Multiprocessor System on Chips (MPSoCs) has been wildly used to explore the idleness of processors and dynamically reduce the energy consumption by putting idle processors to low-power states. In this paper, we explore how to effectively apply dynamic power management in adaptive manner to reduce leakage power consumption for coarse-grained pipelined systems under hard real-time requirements. At each adaptive point, a system transformation is proposed to model the pipeline system with unfinished events as multi-stream system. By using extended pay-burst-only-once principle, the service curves for corresponding stream can be computed as a constraint for a minimal resource demand and energy minimization problem can be formulated with respect to the resource demands at each adaptive point. One light-weight heuristic, called balance workload scheme (BWS), is proposed in this paper to solve the minimization problem. Simulation results using real-life applications are presented to demonstrate the effectiveness of our approach.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://mediatum.ub.tum.de/doc/1281522/document.pdf http://mediatum.ub.tum.de/doc/1281522/document.pdf]<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/6900045/6910490/06910525.pdf?arnumber=6910525 http://xplorestaging.ieee.org/ielx7/6900045/6910490/06910525.pdf?arnumber=6910525],<br />
: [http://dx.doi.org/10.1109/rtcsa.2014.6910525 http://dx.doi.org/10.1109/rtcsa.2014.6910525]<br />
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* [https://dblp.uni-trier.de/db/conf/rtcsa/rtcsa2014.html#ChenHK14 https://dblp.uni-trier.de/db/conf/rtcsa/rtcsa2014.html#ChenHK14],<br />
: [http://mediatum.ub.tum.de/node?id=1281522 http://mediatum.ub.tum.de/node?id=1281522],<br />
: [https://academic.microsoft.com/#/detail/2005818843 https://academic.microsoft.com/#/detail/2005818843]</div>Scipediacontent