Hardware/Software Architectures for Low-Power Embedded Multimedia Systems

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119,99 

ISBN: 1489988270
ISBN 13: 9781489988270
Autor: Shafique, Muhammad/Henkel, Jörg
Verlag: Springer Verlag GmbH
Umfang: xxi, 223 S.
Erscheinungsdatum: 26.11.2014
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

The extreme complexity/energy requirements and context-aware processing nature of multimedia applications stimulate the need for adaptive low-power embedded multimedia systems with high-performance. Run-time adaptivity is required to react to the run-time varying scenarios (e.g., quality and performance constraints, available energy, input data).  This book presents techniques for energy reduction in adaptive embedded multimedia systems, based on dynamically reconfigurable processors.  The approach described will enable designers to meet performance/area constraints, while minimizing video quality degradation, under various, run-time scenarios.  Emphasis is placed on implementing power/energy reduction at various abstraction levels. To enable this, novel techniques for adaptive energy management at both processor architecture and application architecture levels are presented, such that both hardware and software adapt together, minimizing overall energy consumption under unpredictable, design-/compile-time scenarios.   Introduces general concepts and requirements of embedded multimedia systems based on advanced video codecs, dynamically reconfigurable processors, and lowpower techniques in reconfigurable computing; Describes novel techniques and concepts for providing adaptivity and energy reduction jointly at processor and application architecture levels; Provides techniques for enabling runtime configurability for quality vs. energy consumption tradeoff at the application level

Artikelnummer: 7804366 Kategorie:

Beschreibung

This book presents techniques for energy reduction in adaptive embedded multimedia systems, based on dynamically reconfigurable processors. The approach described will enable designers to meet performance/area constraints, while minimizing video quality degradation, under various, run-time scenarios. Emphasis is placed on implementing power/energy reduction at various abstraction levels. To enable this, novel techniques for adaptive energy management at both processor architecture and application architecture levels are presented, such that both hardware and software adapt together, minimizing overall energy consumption under unpredictable, design-/compile-time scenarios.

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