License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.05141.3
URN: urn:nbn:de:0030-drops-3099
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2005/309/
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Venkatachalam, Vasanth ; Probst, Christian W. ; Franz, Michael

A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing

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05141.VenkatachalamVasanth1.Paper.309.pdf (0.2 MB)

Abstract

Power consumption is rapidly becoming the dominant limiting factor for
further improvements in computer design. Curiously, this applies both
at the "high end" of workstations and servers and the "low end" of
handheld devices and embedded computers. At the high-end, the
challenge lies in dealing with exponentially growing power
densities. At the low-end, there is a demand to make mobile devices
more powerful and longer lasting, but battery technology is not
improving at the same
rate that power consumption is rising. Traditional power-management
research is fragmented; techniques are being developed at specific
levels, without fully exploring their synergy with other levels.
Most software techniques target either operating systems or
compilers but do not explore the interaction between the two
layers. These techniques also have not fully explored the potential
of virtual machines for power management.

In contrast, we are developing
a system that integrates information from multiple levels of software
and hardware, connecting these levels through a communication
channel. At the heart of this
system are a virtual machine that compiles and dynamically profiles
code, and an optimizer that reoptimizes
all code, including that of applications and the virtual machine itself.
We believe this introspective, holistic approach
enables more informed power-management decisions.

BibTeX - Entry

@InProceedings{venkatachalam_et_al:DagSemProc.05141.3,
  author =	{Venkatachalam, Vasanth and Probst, Christian W. and Franz, Michael},
  title =	{{A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing}},
  booktitle =	{Power-aware Computing Systems},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5141},
  editor =	{Luca Benini and Ulrich Kremer and Christian W. Probst and Peter Schelkens},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2005/309},
  URN =		{urn:nbn:de:0030-drops-3099},
  doi =		{10.4230/DagSemProc.05141.3},
  annote =	{Keywords: Power-aware Computing, Virtual Machines, Dynamic Optimization}
}

Keywords: Power-aware Computing, Virtual Machines, Dynamic Optimization
Collection: 05141 - Power-aware Computing Systems
Issue Date: 2005
Date of publication: 02.11.2005

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