Scipediacontent: Scipediacontent moved page Draft Content 104620918 to Krishna et al 2013a

2021-02-03T14:31:32Z

Scipediacontent moved page Draft Content 104620918 to Krishna et al 2013a

Scipediacontent: Created page with " == Abstract == Energy consumption has long been recognized as an important performance metric for many real-time and embedded systems. The traditional approach to energy-awa..."

2021-02-03T14:31:27Z

Created page with " == Abstract == Energy consumption has long been recognized as an important performance metric for many real-time and embedded systems. The traditional approach to energy-awa..."

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== Abstract ==

Energy consumption has long been recognized as an important performance metric for many real-time and embedded systems. The traditional approach to energy-aware computing is to dynamically scale the voltage: this results in a significant drop in the energy consumed at the cost of a slowdown of the computation. In this paper, we explore a complementary approach to energy-aware real-time computing: that of runtime architecture configuration. As embedded real-time systems become ever more complex, the processors used will no longer be the bare-bones pipelines traditionally used, but rather high-end processors capable of meeting the timing needs of increasingly demanding applications. Also, the price of superscalar processors continues to fall, which allows them to be considered even for relatively cost-sensitive applications. Such high-end processors lend themselves to dynamic architecture adaptation. We describe how to exploit such adaptation and show that architecture adaptation when combined with dynamic voltage scaling, provides significant advantages over dynamic voltage scaling alone.

== Original document ==

The different versions of the original document can be found in:

* [http://euler.ecs.umass.edu/research/wkk-IGCC-2012.pdf http://euler.ecs.umass.edu/research/wkk-IGCC-2012.pdf]

* [http://euler.ecs.umass.edu/research/wkk-IGCC-2012.pdf http://euler.ecs.umass.edu/research/wkk-IGCC-2012.pdf],
: [http://www.ecs.umass.edu/ece/realtime/publications/CPS/arch_adaptation.pdf http://www.ecs.umass.edu/ece/realtime/publications/CPS/arch_adaptation.pdf],
: [https://dblp.uni-trier.de/db/conf/green/green2012.html#WangKK12 https://dblp.uni-trier.de/db/conf/green/green2012.html#WangKK12],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006322272 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006322272],
: [https://academic.microsoft.com/#/detail/2009455298 https://academic.microsoft.com/#/detail/2009455298]

* [http://xplorestaging.ieee.org/ielx5/6311539/6322244/06322272.pdf?arnumber=6322272 http://xplorestaging.ieee.org/ielx5/6311539/6322244/06322272.pdf?arnumber=6322272],
: [http://dx.doi.org/10.1109/igcc.2012.6322272 http://dx.doi.org/10.1109/igcc.2012.6322272]

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Krishna et al 2013a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 104620918 to Krishna et al 2013a

Scipediacontent: Created page with " == Abstract == Energy consumption has long been recognized as an important performance metric for many real-time and embedded systems. The traditional approach to energy-awa..."