Vectorization of the 2D Wavelet Lifting Transform Using SIMD Extensions

  • Authors:
  • D. Chaver;C. Tenllado;L. Piñuel;M. Prieto;F. Tirado

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
  • Year:
  • 2003

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Abstract

This paper addresses the vectorization of the lifting-based wavelet transform on general-purpose microprocessors in the context of JPEG2000. Since SIMD exploitation strongly depends on an efficient memory hierarchy usage, this research is based on previous work about cache-conscious DWT implementations. The experimental platform on which we have chosen to study the benefits of the SIMD extensions is an Intel Pentium-4 (P-4) based PC. However, unlike other authors, the vectorization has been performed avoiding assembler language programming in order to improve both code portability and development cost.