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Next Generation EDA Flow : Motivations, Opportunities, Challenges and Future Directions / by Khaled Salah Mohamed.
Springer Nature - Synthesis Collection of Technology Collection 14 (2025) Available online
View online- Format:
- Book
- Author/Creator:
- Mohamed, Khaled Salah, Author.
- Series:
- Synthesis Lectures on Engineering, Science, and Technology, 2690-0327
- Language:
- English
- Subjects (All):
- Electronic circuit design.
- Embedded computer systems.
- Cooperating objects (Computer systems).
- Electronics Design and Verification.
- Embedded Systems.
- Cyber-Physical Systems.
- Local Subjects:
- Electronics Design and Verification.
- Embedded Systems.
- Cyber-Physical Systems.
- Physical Description:
- 1 online resource (XIV, 149 p. 55 illus., 41 illus. in color.)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This book serves as a comprehensive guide to the world of EDA tools, offering readers a deeper understanding of their inner workings and a glimpse into the future of electronic design. With a meticulous focus on numerical methods, the author delves deeply into the mathematical foundations that underpin EDA tools. From finite element analysis to Monte Carlo simulations, readers will gain a thorough understanding of the numerical techniques employed to model and simulate complex electronic systems. Furthermore, this book elucidates the diverse modeling methods utilized in EDA tools, providing readers with a holistic view of the methods employed to represent and analyze electronic circuits and systems. Whether exploring circuit-level simulations or system-level modeling, readers will be equipped with the knowledge needed to navigate the intricacies of EDA toolsets. The author also delves into the fascinating intersection of quantum mechanics and electronic design, examining the evolving landscape of quantum EDA tools and offering insights into the transformative potential of quantum computing in electronic design. Lastly, this book explores the transformative impact of machine learning on EDA tools, offering insights into how artificial intelligence techniques can enhance performance and productivity.
- Contents:
- The Next Wave of Moore’s Law
- EDA Tools Modeling Methods
- The Basics of EDA Tools for IC
- Towards a ML-Assisted EDA Tools.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031884351
- 3031884353
- OCLC:
- 1515060776
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