Machine Learning-based Design and Optimization of High-Speed Circuits - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning-based Design and Optimization of High-Speed Circuits write by Vazgen Melikyan. This book was released on 2024-01-31. Machine Learning-based Design and Optimization of High-Speed Circuits available in PDF, EPUB and Kindle. This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores.
Machine Learning Applications in Electronic Design Automation
Machine Learning Applications in Electronic Design Automation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Applications in Electronic Design Automation write by Haoxing Ren. This book was released on 2023-01-01. Machine Learning Applications in Electronic Design Automation available in PDF, EPUB and Kindle. This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.
SMART Integrated Circuit Design and Methodology
SMART Integrated Circuit Design and Methodology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook SMART Integrated Circuit Design and Methodology write by Thomas Noulis. This book was released on 2023-12-07. SMART Integrated Circuit Design and Methodology available in PDF, EPUB and Kindle. This book describes advanced flows and methodologies for the design and implementation of system-on-chip (SoC). It is written by a mixture of industrial experts and key academic professors and researchers. The intended audience is not only students but also engineers with system-on-chip and semiconductor background currently working in the semiconductor industry. Integrated Circuits are available in every electronic product, especially in emerging market segments such as 5G mobile communications, autonomous driving, fully electrified vehicles, and artificial intelligence. These product types require real-time processing at billions of operations per second. The development design cycle time is driving costs and time to market more than ever before. The traditional design methodologies have reached their limits and innovative solutions are essential to serve the emerging SoC design challenges. In the framework of the Circuit and System Society (CASS) Outreach Initiative 2022 call, the SMART Integrated Circuits design methodology – named SMARTIC – Seasonal School was performed in November 2022, in Thessaloniki (Greece). Features Core analog circuits of any system of chip, such as high-performance rectifiers and filters, are addressed in detail, together with their respective design methodology. New advanced methodologies towards design cycle speed up based on machine learning and artificial intelligence applications. Advanced analog design methodology based on gm/Id and lock up tables. A powerful flow for enabling fast time to market analog circuit design focusing on baseband circuits More exotic methodologies and applications with focus on digital-based analog processing in nanoscale CMOS ICs and the design and development of depleted monolithic active pixel sensors for high-radiation applications, together with all the respective challenges of this application.
System and Circuit Design for Biologically-Inspired Intelligent Learning
System and Circuit Design for Biologically-Inspired Intelligent Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook System and Circuit Design for Biologically-Inspired Intelligent Learning write by Temel, Turgay. This book was released on 2010-10-31. System and Circuit Design for Biologically-Inspired Intelligent Learning available in PDF, EPUB and Kindle. "The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.
Machine Learning in VLSI Computer-Aided Design
Machine Learning in VLSI Computer-Aided Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning in VLSI Computer-Aided Design write by Ibrahim (Abe) M. Elfadel. This book was released on 2019-03-15. Machine Learning in VLSI Computer-Aided Design available in PDF, EPUB and Kindle. This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center
