High-Level Cache Modeling for 2-D Discrete Wavelet Transform Implementations

  • Authors:
  • Y. Andreopoulos;P. Schelkens;G. Lafruit;K. Masselos;J. Cornelis

  • Affiliations:
  • Vrije Universiteit Brussel/IMEC, Dept. ETRO, Pleinlaan 2, B-1050, Brussels, Belgium;Vrije Universiteit Brussel/IMEC, Dept. ETRO, Pleinlaan 2, B-1050, Brussels, Belgium;Inter-University Micro-Electronics Center—IMEC, Kapeldreef 75, B-3001, Leuven, Belgium;Intracom S.A., Development Programs Department, Athens, Greece;Vrije Universiteit Brussel/IMEC, Dept. ETRO, Pleinlaan 2, B-1050, Brussels, Belgium

  • Venue:
  • Journal of VLSI Signal Processing Systems
  • Year:
  • 2003

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Abstract

The main implementations of the 2-D binary-tree discrete wavelet decomposition are theoretically analyzed and compared with respect to data-cache performance on instruction-set processor-based realizations. These implementations include various image-scanning techniques, from the classical row-column approach to the block-based and line-based methods, which are proposed in the framework of multimedia-coding standards. Analytical parameterized equations for the prediction of data-cache misses under general realistic assumptions are proposed. The accuracy and the consistency of the theory are verified through simulations on test platforms and a comparison is made with the results from a real platform.