Title :
Vectorization of the 2D wavelet lifting transform using SIMD extensions
Author :
Chaver, D. ; Tenllado, C. ; Piñuel, L. ; Prieto, M. ; Tirado, F.
Author_Institution :
Departamento de Arquitectura de Computadores y Automatica, Univ. Complutense, Madrid, Spain
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.
Keywords :
code standards; image coding; memory architecture; parallel processing; software portability; transform coding; wavelet transforms; 2D wavelet lifting transform; Intel Pentium-4; JPEG2000; P-4; SIMD extensions; cache-conscious DWT implementations; code portability; development cost; general-purpose microprocessors; lifting-based wavelet transform; memory hierarchy usage; vectorization; Assembly; Convolutional codes; Costs; Discrete wavelet transforms; Encoding; Microprocessors; Optimization; Systolic arrays; Tiles; Wavelet transforms;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
Print_ISBN :
0-7695-1926-1
DOI :
10.1109/IPDPS.2003.1213416
