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Bit-Packing Optimization for StreamIt
Agrawal, Kunal
Amarasinghe, Saman P.
Wong, Weng Fai
Location: http://hdl.handle.net/1721.1/3673

StreamIt is a language specifically designed for modern streaming applications. A certain important class of these applications operates on streams of bits. This paper presents the motivation for a bit-packing optimization to be implemented in the StreamIt compiler for the RAW Architecture. This technique aims to pack bits into integers so that operations can be performed on multiple bits at once thus increasing the performance of these applications considerably. This paper gives some simple example applications to illustrate the various conditions where this technique can be applied and also analyses some of its limitations.

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Bit-Packing Optimization for StreamIt
Id. 23691
Idioma inglés (Estados Unidos)
Titulo Bit-Packing Optimization for StreamIt
Autor(es) Agrawal, Kunal
Amarasinghe, Saman P.
Wong, Weng Fai
Location http://hdl.handle.net/1721.1/3673
Versión 1.0
Estado Final
Descripción StreamIt is a language specifically designed for modern streaming applications. A certain important class of these applications operates on streams of bits. This paper presents the motivation for a bit-packing optimization to be implemented in the StreamIt compiler for the RAW Architecture. This technique aims to pack bits into integers so that operations can be performed on multiple bits at once thus increasing the performance of these applications considerably. This paper gives some simple example applications to illustrate the various conditions where this technique can be applied and also analyses some of its limitations.
Tipo 271244 bytes
application/pdf
Palabras clave bit-packing
Tipo de recurso Article
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
Profesor
Autor
Estructura Atomic
Coste no
Copyright
Formatos 271244 bytes
application/pdf
Requerimientos técnicos Browser: Any
Relación [References] Computer Science (CS);
Fecha de contribución 07-may-2008
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