VLSI and Hardware Implementations using Modern Machine Learning Methods

Released on by Sandeep Saini
preview-18

  • VLSI and Hardware Implementations using Modern Machine Learning Methods Book Detail

  • Author : Sandeep Saini
  • Release Date : 2021-12-30
  • Publisher : CRC Press
  • Genre : Technology & Engineering
  • Pages : 329
  • ISBN 13 : 1000523810
  • File Size : 99,99 MB
DOWNLOAD BOOK

VLSI and Hardware Implementations using Modern Machine Learning Methods by Sandeep Saini PDF Summary

Book Description: Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.

Disclaimer: www.yourbookbest.com does not own VLSI and Hardware Implementations using Modern Machine Learning Methods books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.