Computational Frameworks: Systems, Models and Applications
Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.). - Provides a unique presentation on the views of frontline researchers on computational systems theory and applications in one holistic scope - Cover both computational science and engineering - Bridges the gap between frontline research and practical efforts
1132568856
Computational Frameworks: Systems, Models and Applications
Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.). - Provides a unique presentation on the views of frontline researchers on computational systems theory and applications in one holistic scope - Cover both computational science and engineering - Bridges the gap between frontline research and practical efforts
80.95 In Stock
Computational Frameworks: Systems, Models and Applications

Computational Frameworks: Systems, Models and Applications

by Mamadou Kaba Traore
Computational Frameworks: Systems, Models and Applications

Computational Frameworks: Systems, Models and Applications

by Mamadou Kaba Traore

eBook

$80.95 

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Overview

Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.). - Provides a unique presentation on the views of frontline researchers on computational systems theory and applications in one holistic scope - Cover both computational science and engineering - Bridges the gap between frontline research and practical efforts

Product Details

ISBN-13: 9780081023167
Publisher: ISTE Press - Elsevier
Publication date: 07/07/2017
Sold by: Barnes & Noble
Format: eBook
Pages: 136
File size: 8 MB

About the Author

Mamadou Kaba Traoré currently chairs the distributed software engineering Master degree at Blaise Pascal University in France. His research is on formal specification, symbolic manipulation and code synthesis of simulation models..

Table of Contents

1. How Can Modeling and Simulation Help Engineering of System of Systems?2. Multidisciplinary, Interdisciplinary and Transdisciplinary Federations in Support of New Medical Simulation Concepts: Harmonics for the Music of Life3. Heterogeneous Computing: An Emerging Paradigm of Embedded Systems Design4. Numerical Reproducibility of Parallel and Distributed Stochastic Simulation Using High-Performance Computing
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