Marculescu / Bogdan | The Chip Is the Network | Buch | 978-1-60198-192-9 | sack.de

Buch, Englisch, Band 7, 100 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Foundations and Trends® in Electronic Design Automation

Marculescu / Bogdan

The Chip Is the Network

Towards a Science of Network-on-Chip Design
1. Auflage 2008
ISBN: 978-1-60198-192-9
Verlag: Now Publishers

Towards a Science of Network-on-Chip Design

Buch, Englisch, Band 7, 100 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Foundations and Trends® in Electronic Design Automation

ISBN: 978-1-60198-192-9
Verlag: Now Publishers


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.

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Weitere Infos & Material


1: Introduction 2: Deterministic Perspective 3: Stochastic Perspective 4: Statistical Physics Perspective 5: Conclusions. Acknowledgements. References



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