2 Search Results for "Devos, Harald"

Document
DOI: 10.4230/DagSemProc.07041.3
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-dev.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
DOI: 10.4230/DagSemProc.07041.8
Energy Scalability and the RESUME Scalable Video Codec

Authors: Harald Devos, Hendrik Eeckhaut, Mark Christiaens, and Dirk Stroobandt

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

Abstract
In the context of the RESUME-project a scalable wavelet-based video decoder was built to demonstrate the benefits of reconfigurable hardware for scalable applications. emph{Scalable} video means that the quality of service (QoS), i.e., the frame rate, resolution, color depth, ldots of the decoded video can easily be changed by only decoding those parts of the video stream that contribute to the desired QoS. With the emergence of high-performance FPGAs (Field Programmable Gate Array), both the required performance for real-time decoding and flexibility, by allowing reconfiguration, are offered. Since the amount of calculations scales with the QoS, energy dissipation is expected to scale similarly. To investigate the relation between QoS and energy dissipation we actually measured the energy dissipation of a scalable video decoder implementation on a FPGA. The measurements show how dissipation effectively scales with the QoS, but also depends on the decoded data and the used design method. This is illustrated by comparing two different implementations of the inverse discrete wavelet transform (IDWT).
Cite as

Harald Devos, Hendrik Eeckhaut, Mark Christiaens, and Dirk Stroobandt. Energy Scalability and the RESUME Scalable Video Codec. In Power-aware Computing Systems. Dagstuhl Seminar Proceedings, Volume 7041, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{devos_et_al:DagSemProc.07041.8,
  author =	{Devos, Harald and Eeckhaut, Hendrik and Christiaens, Mark and Stroobandt, Dirk},
  title =	{{Energy Scalability and the RESUME Scalable Video Codec}},
  booktitle =	{Power-aware Computing Systems},
  pages =	{1--12},
  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-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07041.8},
  URN =		{urn:nbn:de:0030-drops-11120},
  doi =		{10.4230/DagSemProc.07041.8},
  annote =	{Keywords: Wavelet-based Scalable Video, Energy Measurement, Hardware Generation, FPGA}
}
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