More Than Moore Technologies For Next Generation Computer Design
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More than Moore Technologies for Next Generation Computer Design
This book provides a comprehensive overview of key technologies being used to address challenges raised by continued device scaling and the extending gap between memory and central processing unit performance. Authors discuss in detail what are known commonly as “More than Moore” (MtM), technologies, which add value to devices by incorporating functionalities that do not necessarily scale according to “Moore's Law”. Coverage focuses on three key technologies needed for efficient power management and cost per performance: novel memories, 3D integration and photonic on-chip interconnect.
More Than Moore Technologies for Next Generation Computer Design
This book provides a comprehensive overview of key technologies being used to address challenges raised by continued device scaling and the extending gap between memory and central processing unit performance. Authors discuss in detail what are known commonly as "More than Moore" (MtM), technologies, which add value to devices by incorporating functionalities that do not necessarily scale according to "Moore's Law". Coverage focuses on three key technologies needed for efficient power management and cost per performance: novel memories, 3D integration and photonic on-chip interconnect.
Next Generation EDA Flow
Author: Khaled Salah Mohamed
language: en
Publisher: Springer Nature
Release Date: 2025-05-13
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.