Wow! eBook
Photonic Network-on-Chip Design: 68 2014th Edition
Author(s): Keren Bergman (Author), Luca P. Carloni (Author), Aleksandr Biberman (Author), Johnnie Chan (Author), Gilbert Hendry (Author)
- Publisher: Springer
- Publication Date: 9 Aug. 2013
- Edition: 2014th
- Language: English
- Print length: 223 pages
- ISBN-10: 1441993347
- ISBN-13: 9781441993342
Book Description
This book provides a comprehensive synthesis of the theory and practice of photonic devices for networks-on-chip. It outlines the issues in designing photonic network-on-chip architectures for future many-core high performance chip multiprocessors. The discussion is built from the bottom up: starting with the design and implementation of key photonic devices and building blocks, reviewing networking and network-on-chip theory and existing research, and finishing with describing various architectures, their characteristics, and the impact they will have on a computing system. After acquainting the reader with all the issues in the design space, the discussion concludes with design automation techniques, supplemented by provided software.
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From the Back Cover
This book is a product of an emerging interdisciplinary field that is bringing photonic communications to address many of the challenges associated with scaling computing systems performance. In addressing this cross-disciplinary topic the book bridges the gap among the devices, tools, and architectures for realizing photonic interconnection networks in future computing. This book provides:
- A comprehensive discussion on the usage and integration of silicon photonics interconnect technologies, including distinct properties of key photonic devices and recent engineering breakthroughs.
- Design methodologies for photonic links and the three main classes of photonic network-on-chip architectures applicable to future computing systems.
- A presentation of the design tools and simulation environment used to characterize photonic interconnection network architectures and evaluate the impact on computing performance.
