Machine Learning in VLSI Computer-Aided Design

Machine Learning in VLSI Computer-Aided Design Front Cover
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2019-03-16
694 pages

Book Description

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 , reliability and failure , power and thermal , analog design, logic synthesis, verification, and neuromorphic design.

  • Provides up-to-date on machine learning in VLSI CAD for device , 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 and edge , 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, Fellow, Watson CTO & Chief Architect, T. J. Watson Research Center

Book Details

  • Title: Machine Learning in VLSI Computer-Aided Design
  • Author: ,
  • Length: 694 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-03-16
  • ISBN-10: 3030046656
  • ISBN-13: 9783030046651
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