Machine Learning in VLSI Computer-Aided Design

Machine Learning in VLSI Computer-Aided Design

English | ISBN: 3030046656 | 2019 | 694 pages | PDF, EPUB | 116 MB

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.

Download:

http://longfiles.com/cmha1vr9z73l/Machine_Learning_in_VLSI_Computer-Aided_Design.rar.html

[Fast Download] Machine Learning in VLSI Computer-Aided Design


Related eBooks:
Optimization in Electrical Engineering
Integrated High-Vin Multi-MHz Converters
Introduction to Microsystem Design
Unified Signal Theory
Multiprocessor Systems on Chip: Design Space Exploration
High-Level Verification: Methods and Tools for Verification of System-Level Designs
Digital Design: A Systems Approach
Artificial Intelligence (Cutting-Edge Science and Technology)
Electronics: Theory and Practice
RF Circuit Design
LEGO MINDSTORMS NXT-G Programming Guide, Second Edition
Ultra-thin Chip Technology and Applications
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.