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With its advantages obvious, discrete event simulation has the potential to become a unifying framework for handling differential equations models, difference equation models, and state machines. This book brings together scientists: both practical researchers and theoretical researchers who are interested in advancing the state of the means.

Model-based design allows teams to start the design process from a high-level model that is gradually refined through abstraction levels to ultimately yield a prototype. This book describes the main facets of heterogeneous system design. It focuses on multi-core methodological issues, real-time analysis, and modeling and validation.

Offers a review of the wide ranging facets of MAS simulation, including methodological and application-oriented guidelines. This book provides scientists and developers with disciplined engineering approaches to modeling and developing MAS-based simulations. It catalogs the various simulation engines for MAS.

Offers a guidance to the creation of discrete-event applications. This book uses the CD++ tool, an open-source framework that enables the simulation of discrete-event models with specialized support for cellular models. It demonstrates how to use CD++ to develop simulation models and define a variety of uses in different areas.

This book discusses various aspects of computational science and engineering in combination with applied science. It highlights sustainability to demonstrate how computation can improve different aspects of life. The editors provide a collection of numerous computation-related projects that form a foundation from which to cross-pollinate between different disciplines and further extensive collaboration. They present a clear and profound understanding of computing in today's world. The detailed application examples provide the reader with contributions that behold approaches to provide fundamental solutions to some of the most pertinent humanity-related problems.

Presenting a collection of cutting-edge real-time techniques, tools, and applications for various engineering fields, this reference helps readers develop a thorough understanding of the theory and practical aspects of real-time simulation. It introduces cutting-edge industrial and academic simulation tools and examines a variety of distributed and interactive real-time simulation methods. Content is divided into four sections: basic simulation technologies and fundamentals, real-time simulation for system design, parallel and distributed real-time simulation, and tools and applications. This material covers a wide range of diverse application domains, including control, aerospace, automotive, hydraulics, military, and training.

Presenting a collection of cutting-edge real-time techniques, tools, and applications for various engineering fields, this reference helps readers develop a thorough understanding of the theory and practical aspects of real-time simulation. It introduces cutting-edge industrial and academic simulation tools and examines a variety of distributed and interactive real-time simulation methods. Content is divided into four sections: basic simulation technologies and fundamentals, real-time simulation for system design, parallel and distributed real-time simulation, and tools and applications. This material covers a wide range of diverse application domains, including control, aerospace, automotive, hydraulics, military, and training.

The demands of increasingly complex embedded systems and associated performance computations have resulted in the development of heterogeneous computing architectures that often integrate several types of processors, analog and digital electronic components, and mechanical and optical componentsΓÇöall on a single chip. As a result, now the most prominent challenge for the design automation community is to efficiently plan for such heterogeneity and to fully exploit its capabilities.A compilation of work from internationally renowned authors, Model-Based Design for Embedded Systems elaborates on related practices and addresses the main facets of heterogeneous model-based design for embedded systems, including the current state of the art, important challenges, and the latest trends. Focusing on computational models as the core design artifact, this book presents the cutting-edge results that have helped establish model-based design and continue to expand its parameters.The book is organized into three sections: Real-Time and Performance Analysis in Heterogeneous Embedded Systems, Design Tools and Methodology for Multiprocessor System-on-Chip, and Design Tools and Methodology for Multidomain Embedded Systems. The respective contributors share their considerable expertise on the automation of design refinement and how to relate properties throughout this refinement while enabling analytic and synthetic qualities. They focus on multi-core methodological issues, real-time analysis, and modeling and validation, taking into account how optical, electronic, and mechanical components often interface. Model-based design is emerging as a solution to bridge the gap between the availability of computational capabilities and our inability to make full use of them yet. This approach enables teams to start the design process using a high-level model that is gradually refined through abstraction levels to ultimately yield a prototype. When executed well, model-based design encourages enhanced performance and quicker time to market for a product. Illustrating a broad and diverse spectrum of applications such as in the automotive aerospace, health care, consumer electronics, this volume provides designers with practical, readily adaptable modeling solutions for their own practice.