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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL:
CRC Press
[2022]
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| Edition: | First edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009720312006719 |
| 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"-- |
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| Physical Description: | 1 online resource (329 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003201038 9781000523812 9781000523843 |
