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Performance Estimation of Streaming Media Applications for Reconfigurable Platforms

  • Carsten Reuter
  • Javier Martín Langerwerf
  • Hans-Joachim Stolberg
  • Peter Pirsch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3133)

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.

Keywords

Performance Estimation Input Stream Video Decoder Core Task Input Data Stream 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Carsten Reuter
    • 1
  • Javier Martín Langerwerf
    • 1
  • Hans-Joachim Stolberg
    • 1
  • Peter Pirsch
    • 1
  1. 1.Institute of Microelectronic SystemsUniversity of HannoverHannoverGermany

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