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        <identifier>oai:drops-oai.dagstuhl.de:309</identifier>
        <datestamp>2024-03-06T11:06:16Z</datestamp>
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          <dc:title>A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing</dc:title>
          <dc:creator>Venkatachalam, Vasanth</dc:creator>
          <dc:creator>Probst, Christian W.</dc:creator>
          <dc:creator>Franz, Michael</dc:creator>
          <dc:subject>Power-aware Computing</dc:subject>
          <dc:subject>Virtual Machines</dc:subject>
          <dc:subject>Dynamic Optimization</dc:subject>
          <dc:description>Power consumption is rapidly becoming the dominant limiting factor for &#13;
further improvements in computer design. Curiously, this applies both&#13;
at the "high end" of workstations and servers and the "low end" of&#13;
handheld  devices and embedded computers. At the high-end, the&#13;
challenge lies in  dealing with exponentially growing power&#13;
densities. At the low-end, there  is a demand to make mobile devices&#13;
more powerful and longer lasting, but battery technology is not&#13;
improving at the same &#13;
rate that power consumption is rising. Traditional  power-management&#13;
research is fragmented; techniques are being developed  at specific&#13;
levels, without fully exploring their synergy with other  levels. &#13;
Most software techniques target either operating  systems or&#13;
compilers but do not explore the interaction between the two&#13;
layers. These techniques also have not fully explored the potential&#13;
of  virtual machines for power management. &#13;
&#13;
In contrast, we are developing&#13;
a system  that integrates information from multiple levels of software&#13;
and hardware, connecting these levels through a  communication&#13;
channel. At the heart of this &#13;
system are a virtual machine that compiles and dynamically profiles&#13;
code, and an optimizer that  reoptimizes&#13;
all code, including that of applications and the virtual machine itself.&#13;
We believe this  introspective, holistic approach&#13;
enables more informed power-management decisions.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Vasanth Venkatachalam and Christian W. Probst and Michael Franz</dc:contributor>
          <dc:date>2005</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 5141, Power-aware Computing Systems (2005)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.05141.3</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-3099</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05141.3</dc:identifier>
          <dc:language>eng</dc:language>
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