SystemC provides a robust set of extensions to C++ that enables rapid development of complex hardware/software systems. This book focuses on the practical uses of the language for modeling real systems. The wealth of examples and downloadable code methodically guide the reader through the finer points of the SystemC language. This work provides: - A step-by-step build-up of syntax - NEW features of SystemC 2.1 - Code examples for each concept, - Many resource references - Coding styles and guidelines - Over 52 downloadable code examples (over 8,000 lines) - Exercises throughout the book - How SystemC fits into the system design methodology - Why features are as they are Well known consultants in the EDA industry, both David Black and Jack Donovan have been involved in the adoption and teaching of new technologies and methodologies for a combined total of 42+ years. Recently, they jointly founded a consultancy, Eklectic Ally, focused on helping companies adopt SystemC methodologies.

SystemC provides a robust set of extensions to the C++ language that enables rapid development of complex models of hardware and software systems. The authors focus on practical use of the language for modeling real systems, showing: A step-by-step build-up of syntax Code examples for each concept Over 8000 lines of downloadable code examples Updates to reflect the SystemC standard, IEEE 1666 Why features are as they are Many resource references How SystemC fits into an ESL methodology This new edition of an industry best seller is updated to reflect the standardization of SystemC as IEEE 1666 and other improvements that reflect feedback from readers of the first edition. The wide ranging feedback also include suggestions from editors of the Japanese and Korean language translations, professors and students, and computer engineers from a broad industrial and geographical spectrum, all who have successfully used the first edition. New chapters have been added on the SystemC Verification Library and the Transaction Level Modeling, and proposed changes to the current SystemC standard. David Black and Jack Donovan, well known consultants in the EDA industry, have teamed with Bill Bunton and Anna Keist, experienced SystemC modeling engineers, to write the second edition of this highly popular classic. As a team the authors bring over 100 years of ASIC and system design experience together to make a very readable introduction to SystemC.

SystemC provides a robust set of extensions to the C++ language that enables rapid development of complex models of hardware and software systems. The authors focus on practical use of the language for modeling real systems, showing: A step-by-step build-up of syntax Code examples for each concept Updates to reflect the SystemC standard, IEEE 1666 Why features are as they are Many resource references How SystemC fits into an ESL methodology This new edition of an industry best seller is updated to reflect the standardization of SystemC as IEEE 1666 and other improvements that reflect feedback from readers of the first edition. The wide ranging feedback also include suggestions from editors of the Japanese and Korean language translations, professors and students, and computer engineers from a broad industrial and geographical spectrum, all who have successfully used the first edition. New chapters have been added on the SystemC Verification Library and the Transaction Level Modeling, and proposed changes to the current SystemC standard. David Black and Jack Donovan, well known consultants in the EDA industry, have teamed with Bill Bunton and Anna Keist, experienced SystemC modeling engineers, to write the second edition of this highly popular classic. As a team the authors bring over 100 years of ASIC and system design experience together to make a very readable introduction to SystemC.

DESCRIPTION: (This softcover edition of the book has no accompanying CD). This is a beginner's book on SystemC targeted for both system designers as well as logic designers. Designers who already know VHDL or Verilog HDL will find the book very easy to read and learn about SystemC. Designers can in a very short time start writing SystemC models and simulating them with the information provided in the book. An excellent foreword has been provided by Stan Krolikoski, the Open SystemC Initiative Chairman -- " ...a primer that gradually introduces the reader to the complexities of SystemC by reference to common digital design concepts ..." REVIEW: "Is easy to understand for anyone with digital logic design background . . . suitable as an introduction book to SystemC . . . Examples are very helpful" - Xiaoyan Huang "I enjoyed reading the SystemC Primer book. It was very easy to read and the examples were excellent. I feel like I have a good understanding of the language. I felt that the examples showed the positive attributes of the new language specifically the parameterization of models so they can be reusable. By using the examples the designer can focus more on the design itself and not the language" - Jean Witinski "This is a very useful book for those interested in SystemC for hardware design. It has many practical examples and gives pragmatic advice on what is possible with hardware synthesis" - Grant Martin, Fellow, Cadence Labs "This book provides an excellent introduction to SystemC. SystemC concepts are clearly explained and illustrated with practical examples. It is a must read for people interested in modeling hardware in SystemC" - Abhijit Ghosh, Synopsys "This is definitely a reference for designers who want to learn SystemC. Numerous examples guide the reader towards a sound understanding of the language. Higher level SystemC features are introduced and not kept aside. Bottom line, a very good book to SystemC . . . " - Yves Vanderperren, Alcatel Microelectronics "Excellent introduction to SystemC constructs explained with detailed examples, complete with corresponding logic diagrams. A must for every SystemC designer's desk" - Sanjiv Narayan "I enjoyed reading it. Recommended to designers learning SystemC for modeling and synthesis . . . it will also be welcomed on both graduate and advanced undergraduate courses" - David Long, Doulos "Well suited as a text book for students and a great value for hardware designers that want to get started with SystemC" - Bernhard Niemann, Fraunhofer Institute for Integrated Circuits

The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory

Legal Writing from the Ground Up: Process, Principles, and Possibilities breaks down legal writing into a step-by-step process but avoids a one-size-fits-all approach. This book helps legal writing professors balance the need to encourage original and strategic thinking while providing guidance for students as they develop their legal writing skills. Tracy Turner writes with today s generation of students in mind, and helps to arm student with specific and powerful tools without shackling their creativity. Key Features Multiple adaptations of the Issue, Rule, Application, and Conclusion (IRAC) paradigm that reflect a different approaches to problem solving Different strategic considerations in selecting the right analytical model for a particular case Consistent emphasis on the foundations of legal analysis Proven-effective techniques for continuing skill development Visual aids that are transferable learning tools, such as charts and diagrams Critical reading techniques, clearly explained Visually navigable pages and the author s direct and engaging writing style An intuitively logical organization of content, that easily adapts to myriad approaches to teaching and study

The system design interview is considered to be the most complex and most difficult technical job interview by many. Those questions are intimidating, but don't worry. It's just that nobody has taken the time to prepare you systematically. We take the time. We go slow. We draw lots of diagrams and use lots of examples. You'll learn step-by-step, one question at a time.Don't miss out.What's inside?- An insider's take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 16 real system design interview questions with detailed solutions.- 188 diagrams to visually explain how different systems work.

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.

"David Stroh has produced an elegant and cogent guide to what works. Research with early learners is showing that children are natural systems thinkers. This book will help to resuscitate these intuitive capabilities and strengthen them in the fire of facing our toughest problems."—Peter Senge, author of The Fifth Discipline Concrete guidance on how to incorporate systems thinking in problem solving, decision making, and strategic planning—for everyone! Donors, leaders of nonprofits, and public policy makers usually have the best of intentions to serve society and improve social conditions. But often their solutions fall far short of what they want to accomplish and what is truly needed. Moreover, the answers they propose and fund often produce the opposite of what they want over time. We end up with temporary shelters that increase homelessness, drug busts that increase drug-related crime, or food aid that increases starvation. How do these unintended consequences come about and how can we avoid them? By applying conventional thinking to complex social problems, we often perpetuate the very problems we try so hard to solve, but it is possible to think differently, and get different results. Systems Thinking for Social Change enables readers to contribute more effectively to society by helping them understand what systems thinking is and why it is so important in their work. It also gives concrete guidance on how to incorporate systems thinking in problem solving, decision making, and strategic planning without becoming a technical expert. Systems thinking leader David Stroh walks readers through techniques he has used to help people improve their efforts on complex problems like: ending homelessness improving public health strengthening education designing a system for early childhood development protecting child welfare developing rural economies facilitating the reentry of formerly incarcerated people into society resolving identity-based conflicts and more! The result is a highly readable, effective guide to understanding systems and using that knowledge to get the results you want.

One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions