Which came first, the system or the chip? While integrated circuits enable technology for the modern information age, computing, communication, and network chips fuel it. As soon as the integration ability of modern semiconductor technology offers presents opportunities, issues in power consumption, reliability, and form-factor present challenges. The demands of emerging software applications can only be met with unique systems and chips. Drawing on contributors from academia, research, and industry, Unique Systems and Chips explores unique approaches to designing future computing and communication chips and systems. The book focuses on specialized hardware and systems as opposed to general-purpose chips and systems. It covers early conception and simulation, mid-development, application, testing, and performance. The chapter authors introduce new ideas and innovations in unique aspects of chips and system design, then go on to provide in-depth analysis of these ideas. They explore ways in which these chips and systems may be used in further designs or products, spurring innovations beyond the intended scopes of those presented. International in flavor, the book brings industrial and academic perspectives into focus by presenting the full spectrum of applications of chips and systems.

The implementation of networks-on-chip (NoC) technology in VLSI integration presents a variety of unique challenges. To deal with specific design solutions and research hurdles related to intra-chip data exchange, engineers are challenged to invoke a wide range of disciplines and specializations while maintaining a focused approach. Leading Researchers Present Cutting-Edge Designs Tools Networks-on-Chips: Theory and Practice facilitates this process, detailing the NoC paradigm and its benefits in separating IP design and functionality from chip communication requirements and interfacing. It starts with an analysis of 3-D NoC architectures and progresses to a discussion of NoC resource allocation, processor traffic modeling, and formal verification, with an examination of protocols at different layers of abstraction. An exploration of design methodologies, CAD tool development, and system testing, as well as communication protocol, the text highlights important emerging research issues, such as Resource Allocation for Quality of Service (QoS) on-chip communication Testing, verification, and network design methodologies Architectures for interconnection, real-time monitoring, and security requirements Networks-on-Chip Protocols Presents a flexible MPSoC platform to easily implement multimedia applications and evaluate future video encoding standards This useful guide tackles power and energy issues in NoC-based designs, addressing the power constraints that currently limit the embedding of more processing elements on a single chip. It covers traffic modeling and discusses the details of traffic generators. Using unique case studies and examples, it covers theoretical and practical issues, guiding readers through every phase of system design.

Mobility - flows, movement and migration in social life - has emerged as a central area of sociological debate, yet one of its most dominant forms, automobility, has remained largely ignored. Automobilities presents one of the first examinations of the car and its promise of autonomy and mobility.

The Mathematics of Chip-firing is a solid introduction and overview of the growing field of chip-firing. It offers an appreciation for the richness and diversity of the subject. Chip-firing refers to a discrete dynamical system — a commodity is exchanged between sites of a network according to very simple local rules. Although governed by local rules, the long-term global behavior of the system reveals fascinating properties. The Fundamental properties of chip-firing are covered from a variety of perspectives. This gives the reader both a broad context of the field and concrete entry points from different backgrounds. Broken into two sections, the first examines the fundamentals of chip-firing, while the second half presents more general frameworks for chip-firing. Instructors and students will discover that this book provides a comprehensive background to approaching original sources. Features: Provides a broad introduction for researchers interested in the subject of chip-firing The text includes historical and current perspectives Exercises included at the end of each chapter About the Author: Caroline J. Klivans received a BA degree in mathematics from Cornell University and a PhD in applied mathematics from MIT. Currently, she is an Associate Professor in the Division of Applied Mathematics at Brown University. She is also an Associate Director of ICERM (Institute for Computational and Experimental Research in Mathematics). Before coming to Brown she held positions at MSRI, Cornell and the University of Chicago. Her research is in algebraic, geometric and topological combinatorics.

This book is the second volume of a two-volume book set which introduces software-defined chips. In this book, the programming model of the software-defined chips is analyzed by tracing the coevolution of modern general-purpose processors and programming models. The enhancement in hardware security and reliability of the software-defined chips are described from the perspective of dynamic and partial reconfiguration. The challenges and prospective trends of software-defined chips are also discussed. Current applications in the fields of artificial intelligence, cryptography, 5G communications, etc., are presented in detail. Potential applications in the future, including post-quantum cryptography, evolutionary computing, etc., are also discussed. This book is suitable for scientists and researchers in the areas of electrical and electronic engineering and computer science. Postgraduate students, practitioners and professionals in related areas are also potentially interested in the topic of this book.

"An irreverant, comprehensive romp, by an experienced science popularizer, through the many fascinating details of the nano-world."--The Wall Street Journal.

This practically-oriented, all-inclusive guide covers all the major enabling techniques for current and next-generation cellular communications and wireless networking systems. Technologies covered include CDMA, OFDM, UWB, turbo and LDPC coding, smart antennas, wireless ad hoc and sensor networks, MIMO, and cognitive radios, providing readers with everything they need to master wireless systems design in a single volume. Uniquely, a detailed introduction to the properties, design, and selection of RF subsystems and antennas is provided, giving readers a clear overview of the whole wireless system. It is also the first textbook to include a complete introduction to speech coders and video coders used in wireless systems. Richly illustrated with over 400 figures, and with a unique emphasis on practical and state-of-the-art techniques in system design, rather than on the mathematical foundations, this book is ideal for graduate students and researchers in wireless communications, as well as for wireless and telecom engineers.

This volume features the latest research and practical data from the premier event for the microelectronics failure analysis community. The papers cover a wide range of testing and failure analysis topics of practical value to anyone working to detect, understand, and eliminate electronic device and system failures.

This book constitutes the refereed post-conference proceedings of the 12th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2020, held in August 2020.The 8 papers presented were carefully reviewed and cover the following topics: testing ACID compliance in the LDBC social network benchmark; experimental performance evaluation of stream processing engines made easy; revisiting issues in benchmarking metric selection; performance evaluation for digital transformation; experimental comparison of relational and NoSQL document systems; a framework for supporting repetition and evaluation in the process of cloud-based DBMS performance benchmarking; benchmarking AI inference; a domain independent benchmark evolution model for the transaction processing performance council.