Machine Intelligence in Design Automation: A Brief Overview

by Rohit Sharma

This brief booklet is overview of the book "Machine Intelligence in Design Automation", which presents a hands-on approach for solving electronic design automation problems with modern machine intelligence techniques by including step-by-step development of commercial grade design applications including resistance estimation, capacitance estimation, cell classification and others using dataset extracted from designs at 20nm. It walks the reader step by step in building solution flow for EDA problems with Python and Tensorflow. Intended audience includes design automation engineers, managers, executives, research professionals, graduate students, Machine learning enthusiasts, EDA and CAD developers, mentors, and the merely inquisitive. It is organized to serve as a compendium to a beginner, a ready reference to intermediate and source for an expert.

60 pages, Kindle Edition

Published July 14, 2018

About the author

Rohit Sharma is an engineer, author and entrepreneur. He has published over 10 papers in international conferences and journals. He has contributed to electronic design automation domain for over 20 years learning, improvising and designing solutions. He is passionate about many technical topics including machine learning, analysis, characterization, and modeling. It led him to architect guna - an advanced characterization software for modern nodes. He currently works for Paripath Inc. (www.paripath.com) - a company he founded.

Reviews

[Rohit Sharma · Rating 5 out of 5]

Details on characterization and modeling formats include NLDM, NLPM, CCS, CCSP, CCSN, ECSM, OCV, AOCV, LOCV, SBOCV, POCV, SOCV and LVF.