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Documents authored by Venkatachalam, Vasanth


Document
07041 Working Group – Towards Interfaces for Integrated Performance and Power Analysis and Simulation

Authors: Chris Bleakley, Tom Clerckx, Harald Devos, Matthias Grumer, Alex Janek, Ulrich Kremer, Christian W. Probst, Phillip Stanley-Marbell, Christian Steger, Vasanth Venkatachalam, and Manuel Wendt

Published in: Dagstuhl Seminar Proceedings, Volume 7041, Power-aware Computing Systems (2007)


Abstract
In the design and optimization of power-aware computing systems, it is often desired to estimate power consumption at various levels of abstraction, e.g., at the transistor, gate, RTL, behavioral or transaction levels. Tools for power estimation at these different levels of abstraction require specialized expertise, e.g., understanding of device physics for circuit-level power estimation, and as such are necessarily developed by different research communities. In the optimization of complete platforms however, it is desired to be able to obtain aggregate power and performance estimates for the different components of a system, and this requires the ability to model the system at a mixture of levels of abstraction. One approach to enabling such cross-abstraction modeling, is to define a mechanism for interchange of data between tools at different layers of abstraction, for both static analysis and simulation-based studies. This document presents preliminary discussions on the requirements of such an interface.

Cite as

Chris Bleakley, Tom Clerckx, Harald Devos, Matthias Grumer, Alex Janek, Ulrich Kremer, Christian W. Probst, Phillip Stanley-Marbell, Christian Steger, Vasanth Venkatachalam, and Manuel Wendt. 07041 Working Group – Towards Interfaces for Integrated Performance and Power Analysis and Simulation. In Power-aware Computing Systems. Dagstuhl Seminar Proceedings, Volume 7041, pp. 1-6, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2007)


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@InProceedings{bleakley_et_al:DagSemProc.07041.3,
  author =	{Bleakley, Chris and Clerckx, Tom and Devos, Harald and Grumer, Matthias and Janek, Alex and Kremer, Ulrich and Probst, Christian W. and Stanley-Marbell, Phillip and Steger, Christian and Venkatachalam, Vasanth and Wendt, Manuel},
  title =	{{07041 Working Group – Towards Interfaces for Integrated Performance and Power Analysis and Simulation}},
  booktitle =	{Power-aware Computing Systems},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7041},
  editor =	{Luca Benini and Naehyuck Chang and Ulrich Kremer and Christian W. Probst},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07041.3},
  URN =		{urn:nbn:de:0030-drops-11072},
  doi =		{10.4230/DagSemProc.07041.3},
  annote =	{Keywords: Power Estimation Tools, Simulation, Tool Interfaces}
}
Document
A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing

Authors: Vasanth Venkatachalam, Christian W. Probst, and Michael Franz

Published in: Dagstuhl Seminar Proceedings, Volume 5141, Power-aware Computing Systems (2005)


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.

Cite as

Vasanth Venkatachalam, Christian W. Probst, and Michael Franz. A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing. In Power-aware Computing Systems. Dagstuhl Seminar Proceedings, Volume 5141, pp. 1-14, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2005)


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@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/entities/document/10.4230/DagSemProc.05141.3},
  URN =		{urn:nbn:de:0030-drops-3099},
  doi =		{10.4230/DagSemProc.05141.3},
  annote =	{Keywords: Power-aware Computing, Virtual Machines, Dynamic Optimization}
}
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