Machine Learning Techniques for VLSI Chip Design

Machine Learning Techniques for VLSI Chip Design
Author :
Publisher : John Wiley & Sons
Total Pages : 244
Release :
ISBN-10 : 9781119910473
ISBN-13 : 1119910471
Rating : 4/5 (471 Downloads)

Book Synopsis Machine Learning Techniques for VLSI Chip Design by : Abhishek Kumar

Download or read book Machine Learning Techniques for VLSI Chip Design written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2023-06-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design. Artificial intelligence (AI) and machine learning (ML) have, or will have, an impact on almost every aspect of our lives and every device that we own. AI has benefitted every industry in terms of computational speeds, accurate decision prediction, efficient machine learning (ML), and deep learning (DL) algorithms. The VLSI industry uses the electronic design automation tool (EDA), and the integration with ML helps in reducing design time and cost of production. Finding defects, bugs, and hardware Trojans in the design with ML or DL can save losses during production. Constraints to ML-DL arise when having to deal with a large set of training datasets. This book covers the learning algorithm for floor planning, routing, mask fabrication, and implementation of the computational architecture for ML-DL. The future aspect of the ML-DL algorithm is to be available in the format of an integrated circuit (IC). A user can upgrade to the new algorithm by replacing an IC. This new book mainly deals with the adaption of computation blocks like hardware accelerators and novel nano-material for them based upon their application and to create a smart solution. This exciting new volume is an invaluable reference for beginners as well as engineers, scientists, researchers, and other professionals working in the area of VLSI architecture development.


Machine Learning Techniques for VLSI Chip Design Related Books

Machine Learning Techniques for VLSI Chip Design
Language: en
Pages: 244
Authors: Abhishek Kumar
Categories: Computers
Type: BOOK - Published: 2023-06-26 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge new volume covers the hardware architecture implementation, the software implementation appro
Machine Learning in VLSI Computer-Aided Design
Language: en
Pages: 697
Authors: Ibrahim (Abe) M. Elfadel
Categories: Technology & Engineering
Type: BOOK - Published: 2019-03-15 - Publisher: Springer

DOWNLOAD EBOOK

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 comp
Handbook of VLSI Chip Design and Expert Systems
Language: en
Pages: 593
Authors: A. F. Schwarz
Categories: Technology & Engineering
Type: BOOK - Published: 2014-05-10 - Publisher: Academic Press

DOWNLOAD EBOOK

Handbook of VLSI Chip Design and Expert Systems provides information pertinent to the fundamental aspects of expert systems, which provides a knowledge-based ap
VLSI Physical Design: From Graph Partitioning to Timing Closure
Language: en
Pages: 310
Authors: Andrew B. Kahng
Categories: Technology & Engineering
Type: BOOK - Published: 2011-01-27 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Design and optimization of integrated circuits are essential to the creation of new semiconductor chips, and physical optimizations are becoming more prominent
Neural Information Processing and VLSI
Language: en
Pages: 569
Authors: Bing J. Sheu
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in ord