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Data-parallel Digital Signal Processors: Algorithm mapping, architecture scaling and workload adaptation - Tapa blanda

Rajagopal, Sridhar

 
9783844317978: Data-parallel Digital Signal Processors: Algorithm mapping, architecture scaling and workload adaptation
Tapa blanda
ISBN 10: 384431797X ISBN 13: 9783844317978
Editorial: LAP LAMBERT Academic Publishing, 2011

Sinopsis

Emerging applications such as high definition television (HDTV), streaming video, image processing in embedded applications and signal processing in high-speed wireless communications are driving a need for high performance digital signal processors (DSPs) with real-time processing. This class of applications demonstrates significant data parallelism, finite precision,need for power-efficiency and the need for 100's of arithmetic units in the DSP to meet real-time requirements. Data-parallel DSPs meet these requirements by employing clusters of functional units, enabling 100's of computations every clock cycle. These DSPs exploit instruction level parallelism and subword parallelism within clusters, similar to atraditional VLIW (Very Long Instruction Word) DSP, and exploit data parallelism across clusters, similar to vector processors.

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Reseña del editor

Emerging applications such as high definition television (HDTV), streaming video, image processing in embedded applications and signal processing in high-speed wireless communications are driving a need for high performance digital signal processors (DSPs) with real-time processing. This class of applications demonstrates significant data parallelism, finite precision,need for power-efficiency and the need for 100's of arithmetic units in the DSP to meet real-time requirements. Data-parallel DSPs meet these requirements by employing clusters of functional units, enabling 100's of computations every clock cycle. These DSPs exploit instruction level parallelism and subword parallelism within clusters, similar to atraditional VLIW (Very Long Instruction Word) DSP, and exploit data parallelism across clusters, similar to vector processors.

Biografía del autor

Sridhar Rajagopal received his M.S. and Ph.D. degrees from Rice University, Houston, TX in 2000 and 2004 respectively. He is currently employed at Samsung Telecommunications America, in Richardson, TX as a research staff engineer. He can be reached at sridhar@alumni.rice.edu.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2011
Idioma
Inglés
ISBN 10 
384431797X
ISBN 13 
9783844317978
Encuadernación
Tapa blanda
Número de páginas
196
Contacto del fabricante
no disponible
Persona responsable
no disponible