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Título:
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Wavelet transform for large scale image processing on modern microprocessors
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Autores:
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Chaver Martínez, Daniel Ángel ;
Tenllado Van Der Reijden, Christian ;
Piñuel Moreno, Luis ;
Tirado Fernández, Francisco
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Tipo de documento:
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texto impreso
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Editorial:
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SPRINGER-VERLAG BERLIN, 2003
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Informática
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Materia = Ciencias: Informática: Programación de ordenadores
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Tipo = Sección de libro
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Resumen:
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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.
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En línea:
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https://eprints.ucm.es/id/eprint/29933/1/pi%C3%B1uel24preprint.pdf
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