VLSI and hardware implementations using modern machine learning methods:
"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 mi...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press
2022
|
| Edition: | First edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781000523843/?ar |
| Summary: | "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"-- |
| Item Description: | Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781000523843 1000523845 9781003201038 1003201032 9781000523812 1000523810 |
Staff View
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| spelling | VLSI and hardware implementations using modern machine learning methods edited by Sandeep Saini, Kusum Lata and G.R. Sinha First edition. Boca Raton, FL CRC Press 2022 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher "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"-- Integrated circuits Very large scale integration Design and construction Data processing Machine learning Apprentissage automatique TECHNOLOGY / Electronics / Circuits / General Integrated circuits ; Very large scale integration ; Design and construction ; Data processing Saini, Sandeep HerausgeberIn edt Lata, Kusum HerausgeberIn edt Sinha, G. R. 1975- HerausgeberIn edt 9781032061719 Erscheint auch als Druck-Ausgabe 9781032061719 |
| spellingShingle | VLSI and hardware implementations using modern machine learning methods Integrated circuits Very large scale integration Design and construction Data processing Machine learning Apprentissage automatique TECHNOLOGY / Electronics / Circuits / General Integrated circuits ; Very large scale integration ; Design and construction ; Data processing |
| title | VLSI and hardware implementations using modern machine learning methods |
| title_auth | VLSI and hardware implementations using modern machine learning methods |
| title_exact_search | VLSI and hardware implementations using modern machine learning methods |
| title_full | VLSI and hardware implementations using modern machine learning methods edited by Sandeep Saini, Kusum Lata and G.R. Sinha |
| title_fullStr | VLSI and hardware implementations using modern machine learning methods edited by Sandeep Saini, Kusum Lata and G.R. Sinha |
| title_full_unstemmed | VLSI and hardware implementations using modern machine learning methods edited by Sandeep Saini, Kusum Lata and G.R. Sinha |
| title_short | VLSI and hardware implementations using modern machine learning methods |
| title_sort | vlsi and hardware implementations using modern machine learning methods |
| topic | Integrated circuits Very large scale integration Design and construction Data processing Machine learning Apprentissage automatique TECHNOLOGY / Electronics / Circuits / General Integrated circuits ; Very large scale integration ; Design and construction ; Data processing |
| topic_facet | Integrated circuits Very large scale integration Design and construction Data processing Machine learning Apprentissage automatique TECHNOLOGY / Electronics / Circuits / General Integrated circuits ; Very large scale integration ; Design and construction ; Data processing |
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