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Performance Estimation of Streaming Media Applications for Reconfigurable Platforms

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Computer Systems: Architectures, Modeling, and Simulation (SAMOS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3133))

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Abstract

A methodology for performance estimation of streaming media applications for different platforms is presented. The methodology derives a complexity profile for an application as a platform-independent metric, and enables performance estimation on potential platforms by correlating the complexity profile with platform-specific data. By example of an MPEG-4 Advanced Simple Profile (ASP) video decoder, performance estimation results are presented. As one particular benefit, the approach can be employed to explore what hardware functions are most suited for the implementation on reconfigurable architectures.

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Author information

Authors and Affiliations

  1. Institute of Microelectronic Systems, University of Hannover, Appelstr.4, 30167, Hannover, Germany

    Carsten Reuter, Javier Martín Langerwerf, Hans-Joachim Stolberg & Peter Pirsch

Authors
  1. Carsten Reuter
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  2. Javier Martín Langerwerf
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  3. Hans-Joachim Stolberg
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  4. Peter Pirsch
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Editor information

Editors and Affiliations

  1. Computer Systems Architecture Group, University of Amsterdam, The Netherlands

    Andy D. Pimentel

  2. Computer Engineering Lab, TUDelft., Postbus 5031, 2600 GA, Delft, The Netherlands

    Stamatis Vassiliadis

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© 2004 Springer-Verlag Berlin Heidelberg

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Reuter, C., Martín Langerwerf, J., Stolberg, HJ., Pirsch, P. (2004). Performance Estimation of Streaming Media Applications for Reconfigurable Platforms. In: Pimentel, A.D., Vassiliadis, S. (eds) Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2004. Lecture Notes in Computer Science, vol 3133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27776-7_8

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  • DOI: https://doi.org/10.1007/978-3-540-27776-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22377-1

  • Online ISBN: 978-3-540-27776-7

  • eBook Packages: Springer Book Archive

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