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题名/责任者:

VLSI and hardware implementations using modern machine learning methods / edited by Sandeep Saini, Kusum Lata and G.R. Sinha.

版本说明:

First edition.

出版发行项:

Boca Raton, FL : CRC Press, 2022.

ISBN:

9781032061726

ISBN:

9781032061719

载体形态项:

xv, 312 pages : illustrations ; 24 cm

附加个人名称:

Saini, Sandeep, editor.

附加个人名称:

Lata, Kusum (Electronics engineer), editor.

附加个人名称:

Sinha, G. R., 1975- editor.

论题主题:

Integrated circuits-Very large scale integration-Design and construction-Data processing.

论题主题:

Machine learning.

中图法分类号:

TN470.2

书目附注:

Includes bibliographical references and index.

摘要附注:

"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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