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International Parallel and Distributed Processing Symposium (IPDPS'03)
Vectorization of the 2D Wavelet Lifting Transform Using SIMD Extensions
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
ASCII Text
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D. Chaver, C. Tenllado, L. Piñuel, M. Prieto, F. Tirado, "Vectorization of the 2D Wavelet Lifting Transform Using SIMD Extensions," Parallel and Distributed Processing Symposium, International, pp. 228b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
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@article{ 10.1109/IPDPS.2003.1213416,
author = {D. Chaver and C. Tenllado and L. Piñuel and M. Prieto and F. Tirado},
title = {Vectorization of the 2D Wavelet Lifting Transform Using SIMD Extensions},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {228b},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213416},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Vectorization of the 2D Wavelet Lifting Transform Using SIMD Extensions
SN - 1530-2075
SP
EP
A1 - D. Chaver,
A1 - C. Tenllado,
A1 - L. Piñuel,
A1 - M. Prieto,
A1 - F. Tirado,
PY - 2003
KW - null
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
D. Chaver, Universidad Complutense.
C. Tenllado, Universidad Complutense
L. Piñuel, Universidad Complutense
M. Prieto, Universidad Complutense
F. Tirado, Universidad Complutense
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.
Citation:
D. Chaver, C. Tenllado, L. Piñuel, M. Prieto, F. Tirado, "Vectorization of the 2D Wavelet Lifting Transform Using SIMD Extensions," ipdps, pp.228b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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