Wavelet transform for large scale image processing on modern microprocessors



Downloads per month over past year

Chaver Martínez, Daniel Ángel and Tenllado van der Reijden, Christian and Piñuel Moreno, Luis and Tirado Fernández, Francisco (2003) Wavelet transform for large scale image processing on modern microprocessors. In High performance computing for computational science - VECPAR 2002. Springer-Verlag Berlin, pp. 549-562. ISBN 3-540-00852-7

[thumbnail of piñuel24preprint.pdf]

Official URL: http://dx.doi.org/10.1007/3-540-36569-9_37


In this paper we discuss several issues relevant to the vectorization of a 2-D Discrete Wavelet Transform on current microprocessors. Our research is based on previous studies about the efficient exploitation of the memory hierarchy, due to its tremendous impact on performance. We have extended this work with a more detailed analysis based on hardware performance counters and a study of vectorization, in particular, we have used the Intel Pentium SSE instruction set. Most of our optimizations are performed at source code level to allow automatic vectorization, though some compiler intrinsic functions have been introduced to enhance performance. Taking into account the abstraction at which the optimizations are performed, the results obtained on an Intel Pentium III microprocessor are quite satisfactory, even though further improvement can be obtained by a more extensive use of compiler intrinsics.

Item Type:Book Section
Additional Information:

© 2003 Springer Verlag. International Conference on High Performance Computing for Computational Science (VECPAR 2002) (5th. jun 26-28, 2002. Oporto, Portugal).

Uncontrolled Keywords:Performance
Subjects:Sciences > Computer science
Sciences > Computer science > Computer programming
ID Code:29933
Deposited On:18 May 2015 11:35
Last Modified:18 May 2015 11:35

Origin of downloads

Repository Staff Only: item control page