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

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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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