Machine Learning in VLSI Computer-Aided Design

Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
Cover of the book Machine Learning in VLSI Computer-Aided Design by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030046668
Publisher: Springer International Publishing Publication: March 15, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030046668
Publisher: Springer International Publishing
Publication: March 15, 2019
Imprint: Springer
Language: English

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

  • Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability;

  • Discusses the use of machine learning techniques in the context of analog and digital synthesis;

  • Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions;

  • Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs.

From the Foreword

As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other….As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation.

Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

From the Foreword

As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other….As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation.

Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

More books from Springer International Publishing

Cover of the book Product Lifecycle Management to Support Industry 4.0 by
Cover of the book Exploring Resources, Life-Balance and Well-Being of Women Who Work in a Global Context by
Cover of the book Why Peacekeeping Fails by
Cover of the book Brownian Motion, Martingales, and Stochastic Calculus by
Cover of the book Confectionery Science and Technology by
Cover of the book Broadband Wireless Communications for Railway Applications by
Cover of the book Applied Logic for Computer Scientists by
Cover of the book Next Generation Computer Animation Techniques by
Cover of the book Nanostructured Materials for Energy Related Applications by
Cover of the book NGO Politics in Sri Lanka by
Cover of the book Scottish Presbyterianism and Settler Colonial Politics by
Cover of the book Statistical Language and Speech Processing by
Cover of the book Melanin-Concentrating Hormone and Sleep by
Cover of the book Dynamics in Logistics by
Cover of the book The Water, Energy, and Food Security Nexus in the Arab Region by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy