
The Chip Is the Network
Towards a Science of Network-on-Chip Design
now publishers Inc
1st Edition
Published on 24. December 2008
Book
Paperback/Softback
104 pages
978-1-60198-192-9 (ISBN)
Description
The Chip Is the Network: Towards a Science of Network-on-Chip Design reviews the major design methodologies that have had a profound effect on designing future Network-on-Chip (NoC) architectures. More precisely, it addresses the problem of NoC design in the deterministic context, where the application and the architecture are modeled as graphs with worst-case type of information about the parameters of the components influencing the network traffic. Rather than simply enumerating the proposed approaches, it takes a formal approach and also discusses the main features of each proposed solution. It then goes one step further by considering the design of NoCs with partial information available (primarily under the Markovian assumption) about the application and the architecture. Similarly to the deterministic context, it discusses various probabilistic approaches to NoC design and points out their advantages and limitations. Last, but not least, it looks at emerging approaches inspired from statistical physics and information theory. The formal approach adopted means the network concept is addressed in the most general context, pointing out the main limitations of the proposed solutions, and suggesting a few open-ended problems. The Chip Is the Network: Towards a Science of Network-on-Chip Design is an invaluable reference for the NoC research community and, indeed anyone from CAD/VLSI academe or industry with an interest in this emerging paradigm.
More details
Series
Language
English
Place of publication
Hanover
United States
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 5 mm
Weight
159 gr
ISBN-13
978-1-60198-192-9 (9781601981929)
DOI
10.1561/1000000011
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
1: Introduction 2: Deterministic Perspective 3: Stochastic Perspective 4: Statistical Physics Perspective 5: Conclusions. Acknowledgements. References