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Runtime Adaptation For Reconfigurable Embedded Processors 1st Edition Lars Bauer

  • SKU: BELL-2010344
Runtime Adaptation For Reconfigurable Embedded Processors 1st Edition Lars Bauer
$ 31.00 $ 45.00 (-31%)

4.0

76 reviews

Runtime Adaptation For Reconfigurable Embedded Processors 1st Edition Lars Bauer instant download after payment.

Publisher: Springer-Verlag New York
File Extension: PDF
File size: 18.86 MB
Pages: 223
Author: Lars Bauer, Jörg Henkel (auth.)
ISBN: 9781441974112, 1441974113
Language: English
Year: 2011
Edition: 1

Product desciption

Runtime Adaptation For Reconfigurable Embedded Processors 1st Edition Lars Bauer by Lars Bauer, Jörg Henkel (auth.) 9781441974112, 1441974113 instant download after payment.

Run-time Adaptation for Reconfigurable Embedded Processors by: Lars Bauer Jörg Henkel Embedded processors are the heart of embedded systems. Reconfigurable embedded processors comprise an extended instruction set that is implemented using a reconfigurable fabric (similar to a field-programmable gate array, FPGA). This book presents novel concepts, strategies, and implementations to increase the run-time adaptivity of reconfigurable embedded processors. Concepts and techniques are presented in an accessible, yet rigorous context. A complex, realistic H.264 video encoder application with a high demand for adaptivity is presented and used as an example for motivation throughout the book. A novel, run-time system is demonstrated to exploit the potential for adaptivity and particular approaches/algorithms are presented to implement it. •Presents a new approach to increase the adaptivity of embedded processors; •Describes a novel approach to increasing the adaptivity for reconfigurable processors, explained in a very visual/imaginable manner, as well a very precise/formal manner; •Presents a complex, realistic H.264 video encoder application with a high demand for adaptivity and uses that example for motivation/in-depth evaluation throughout the book; •Describes a novel run-time system that exploits the potential for adaptivity and particular approaches/algorithms to implement it.

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