Graphs In Vlsi
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Graphs in VLSI
Author: Rassul Bairamkulov
language: en
Publisher: Springer Nature
Release Date: 2022-11-28
Networks are pervasive. Very large scale integrated (VLSI) systems are no different, consisting of dozens of interconnected subsystems, hundreds of modules, and many billions of transistors and wires. Graph theory is crucial for managing and analyzing these systems. In this book, VLSI system design is discussed from the perspective of graph theory. Starting from theoretical foundations, the authors uncover the link connecting pure mathematics with practical product development. This book not only provides a review of established graph theoretic practices, but also discusses the latest advancements in graph theory driving modern VLSI technologies, covering a wide range of design issues such as synchronization, power network models and analysis, and interconnect routing and synthesis. Provides a practical introduction to graph theory in the context of VLSI systems engineering; Reviews comprehensively graph theoretic methods and algorithms commonly used during VLSI product development process; Includes a review of novel graph theoretic methods and algorithms for VLSI system design.
VLSI Physical Design: From Graph Partitioning to Timing Closure
The complexity of modern chip design requires extensive use of specialized software throughout the process. To achieve the best results, a user of this software needs a high-level understanding of the underlying mathematical models and algorithms. In addition, a developer of such software must have a keen understanding of relevant computer science aspects, including algorithmic performance bottlenecks and how various algorithms operate and interact. This book introduces and compares the fundamental algorithms that are used during the IC physical design phase, wherein a geometric chip layout is produced starting from an abstract circuit design. This updated second edition includes recent advancements in the state-of-the-art of physical design, and builds upon foundational coverage of essential and fundamental techniques. Numerous examples and tasks with solutions increase the clarity of presentation and facilitate deeper understanding. A comprehensive set of slides is available on the Internet for each chapter, simplifying use of the book in instructional settings. “This improved, second edition of the book will continue to serve the EDA and design community well. It is a foundational text and reference for the next generation of professionals who will be called on to continue the advancement of our chip design tools and design the most advanced micro-electronics.” Dr. Leon Stok, Vice President, Electronic Design Automation, IBM Systems Group “This is the book I wish I had when I taught EDA in the past, and the one I’m using from now on.” Dr. Louis K. Scheffer, Howard Hughes Medical Institute “I would happily use this book when teaching Physical Design. I know of no other work that’s as comprehensive and up-to-date, with algorithmic focus and clear pseudocode for the key algorithms. The book is beautifully designed!” Prof. John P. Hayes, University of Michigan “The entire field of electronic design automation owes the authors a great debt for providing a single coherent source on physical design that is clear and tutorial in nature, while providing details on key state-of-the-art topics such as timing closure.” Prof. Kurt Keutzer, University of California, Berkeley “An excellent balance of the basics and more advanced concepts, presented by top experts in the field.” Prof. Sachin Sapatnekar, University of Minnesota
Graph Algorithms and Applications I
This book contains volumes 1-3 of the Journal of Graph Algorithms and Applications (JGAA). Topics of interest include design and analysis of graph algorithms, experiences with graph algorithms, and applications of graph algorithms. JGAA is supported by distinguished advisory and editorial boards, has high scientific standards, and takes advantage of current electronic document technology. The electronic version of JGAA is available on the Web at http: //www.cs.brown.edu/publications/jgaa/