VLSI and Hardware Implementations using Modern Machine Learning Methods
Book Details
Format
Hardback or Cased Book
ISBN-10
1032061715
ISBN-13
9781032061719
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Dec 31st, 2021
Print length
312 Pages
Weight
652 grams
Dimensions
16.30 x 24.00 x 2.70 cms
Product Classification:
Electronics engineeringCircuits & componentsAutomatic control engineeringComputer science
Ksh 25,200.00
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This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.
"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. 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. It contains chapters on 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"--
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