Overview

As the complexity of modern embedded systems increases, it becomes less practical to design monolithic processing platforms.  As a result, reconfigurable computing is being adopted widely for more flexible design.  Reconfigurable Computers offer the spatial parallelism and fine-grained customizability of application-specific circuits with the postfabrication programmability of software.  To make the most of this unique combination of performance and flexibility, designers need to be aware of both hardware and software issues.  FPGA users must think not only about the gates needed to perform a computation but also about the software flow that supports the design process. The goal of this book is to help designers become comfortable with these issues, and thus be able to exploit the vast opportunities possible with reconfigurable logic.

Full Product Details

Author:   Joao Cardoso ,  Michael Hübner
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.360kg
ISBN:  

9781461400608

ISBN 10:   1461400600
Pages:   296
Publication Date:   17 August 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Introduction.- The Relevance of Reconfigurable Computing.- HiPEAC: Upcoming Challenges in Reconfigurable Computing.- MORPHEUS: Exploitation of Reconfiguration for Increased Run-time Flexibility and Self-adaptive Capabilities in Future SoCs.- hArtes: Holistic Approach to Reconfigurable Real-time Embedded Systems.- Smart Chips for Smart Surroundings.- AETHER: Self-adaptive Networked Entities: Autonomous Computing Elements for Future Pervasive Applications and Technologies.- ANDRES: Analysis and Design of Run-time Reconfigurable, Heterogeneous Systems.- CRISP: Cutting Edge Reconfigurable ICs for Stream Processing.- ERA: Embedded Reconfigurable Architectures.- REFLECT: Rendering FGGAs to Multi-core Embedded Computing.- Conclusion.

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