RT Book, Section
T1 Wavelet transform for large scale image processing on modern microprocessors
A1 Chaver Martínez, Daniel Ángel
A1 Tenllado Van Der Reijden, Christian Tomás
A1 Piñuel Moreno, Luis
A1 Tirado Fernández, José Francisco
AB 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.
PB Springer-Verlag Berlin
SN 3-540-00852-7
YR 2003
FD 2003
LK https://hdl.handle.net/20.500.14352/60900
UL https://hdl.handle.net/20.500.14352/60900
LA eng
NO © 2003 Springer Verlag. International Conference on High Performance Computing for Computational Science (VECPAR 2002) (5th. jun 26-28, 2002. Oporto, Portugal).
DS Docta Complutense
RD 9 abr 2025