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Design for Manufacturability and Statistical Design: A Constructive Approach provides a thorough treatment of the causes of variability, methods for statistical data characterization, and techniques for modeling, analysis, and optimization of integrated circuits to improve yield. The objective of the constructive approach developed in this book is to formulate a consistent set of methods and principles necessary for rigorous statistical design and design for manufacturability from device physics to large-scale circuit optimization. The segments of the book are devoted, respectively, to understanding the causes of variability; design of test structures for variability characterization; statistically rigorous data analysis;techniques of design for manufacturability in lithography and in chemical mechanical polishing;statistical simulation, analysis, and optimization techniques for improving parametric yield.Design for Manufacturability and Statistical Design: A Constructive Approach presents an overview of the methods that need to be mastered for state-of-the-art design for manufacturability and statistical design methodologies.  It is an important reference for practitioners and students in the field of computer-aided design of integrated circuits.

Design for Manufacturability and Statistical Design: A Constructive Approach provides a thorough treatment of the causes of variability, methods for statistical data characterization, and techniques for modeling, analysis, and optimization of integrated circuits to improve yield. The objective of the constructive approach developed in this book is to formulate a consistent set of methods and principles necessary for rigorous statistical design and design for manufacturability from device physics to large-scale circuit optimization. The segments of the book are devoted, respectively, to understanding the causes of variability; design of test structures for variability characterization; statistically rigorous data analysis;techniques of design for manufacturability in lithography and in chemical mechanical polishing;statistical simulation, analysis, and optimization techniques for improving parametric yield.Design for Manufacturability and Statistical Design: A Constructive Approach presents an overview of the methods that need to be mastered for state-of-the-art design for manufacturability and statistical design methodologies.  It is an important reference for practitioners and students in the field of computer-aided design of integrated circuits.

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 thatI 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

This book constitutes the refereed proceedings of the 20th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2024, held in Vienna, Austria, during August 19–21, 2024. The 21 full papers and 1 short paper included in this book were carefully reviewed and selected from 65 submissions.

Grundpfandrechte spielen für die deutsche Kreditwirtschaft eine herausragende Rolle. Soll ein Kredit durch ein im Ausland gelegenes Grundstück besichert werden, findet aufgrund der sogenannten Lex-rei-sitae-Regel auf Fragen der Bestellung, Übertragung und Verwertung der Immobiliarsicherheit das Sachrecht des Belegenheitsorts Anwendung. Soweit eine Besicherung durch Grundstücke in den USA erfolgt, ist somit US-amerikanisches Recht maßgeblich. Angesichts der zunehmenden Kreditvergabe deutscher Kreditinstitute in die USA und der seit wenigen Jahren bestehenden Möglichkeit zur Aufnahme von US-amerikanischen Grundpfandrechten in die Deckungsmasse von Pfandbriefbanken besteht vor diesem Hintergrund ein besonderes Interesse der deutschen Kreditwirtschaft an den US-amerikanischen Rechtsregeln. Diese stellt Daniela Böning im Vergleich zum deutschen Recht umfassend dar und analysiert sie.