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Design of Low-Power Coarse-Grained Reconfigurable Architectures
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Design of Low-Power Coarse-Grained Reconfigurable Architectures

Book Details

Format Hardback or Cased Book
ISBN-10 1439825106
ISBN-13 9781439825105
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 9th, 2010
Print length 224 Pages
Weight 474 grams
Dimensions 24.40 x 16.40 x 1.80 cms
Product Classification: Computer architecture & logic design
Ksh 37,800.00
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Presenting fresh approaches to reconfigurable architectures for embedded systems, this book discusses the design and implementation of coarse-grained reconfigurable architectures (CGRAs). It provides novel techniques for designing CGRA-based systems.

Coarse-grained reconfigurable architecture (CGRA) has emerged as a solution for flexible, application-specific optimization of embedded systems. Helping you understand the issues involved in designing and constructing embedded systems, Design of Low-Power Coarse-Grained Reconfigurable Architectures offers new frameworks for optimizing the architecture of components in embedded systems in order to decrease area and save power. Real application benchmarks and gate-level simulations substantiate these frameworks.

The first half of the book explains how to reduce power in the configuration cache. The authors present a low-power reconfiguration technique based on reusable context pipelining that merges the concept of context reuse into context pipelining. They also propose dynamic context compression capable of supporting required bits of the context words set to enable and the redundant bits set to disable. In addition, they discuss dynamic context management for reducing power consumption in the configuration cache by controlling a read/write operation of the redundant context words.

Focusing on the design of a cost-effective processing element array to reduce area and power consumption, the second half of the text presents a cost-effective array fabric that uniquely rearranges processing elements and their interconnection designs. The book also describes hierarchical reconfigurable computing arrays consisting of two reconfigurable computing blocks with two types of communication structure. The two computing blocks share critical resources, offering an efficient communication interface between them and reducing the overall area. The final chapter takes an integrated approach to optimization that draws on the design schemes presented in earlier chapters. Using a case study, the authors demonstrate the synergy effect of combining multiple design schemes.


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