Dan Chen, Lizhe Wang, Jingying Chen

Large-Scale Simulation (eBook, PDF)

Models, Algorithms, and Applications

• Format: PDF

Produktbeschreibung

This work gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors' papers in top-tier, peer-reviewed, scientific conference proceedings and journals. Along with presenting the fundamentals, the book covers middleware and software architecture for large-scale simulations as well as mechanisms that support quick evaluation of alternative scenarios. It also describes how distributed computing technologies and many-core architecture are used to study social phenomena.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 259
• Erscheinungstermin: 19. Dezember 2017
• Englisch
• ISBN-13: 9781439868966
• Artikelnr.: 40067044

Autorenporträt

Dan Chen is a professor and director of the Scientific Computing Lab at the China University of Geosciences. His research interests include computer-based modeling and simulation, high performance computing, and neuroinformatics.

Lizhe Wang is a professor at the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences. Dr. Wang is also a "ChuTian Scholar" Chair Professor at the China University of Geosciences, a senior member of IEEE, and a member of ACM. His research interests include high performance computing, grid/cloud computing, and data-intensive computing.

Jingying Chen is a professor in the National Engineering Centre for e-Learning at Huazhong Normal University. Her research interests include intelligent systems, computer vision, and pattern recognition.

Inhaltsangabe

FUNDAMENTALS: Introduction. Background and Fundamentals. MIDDLEWARE AND
SOFTWARE ARCHITECTURES: A Decoupled Federate Architecture. Fault-Tolerant
HLA-Based Distributed Simulations. Synchronization in Federation Community
Networks. EVALUATION OF ALTERNATIVE SCENARIOS: Theory and Issues in
Distributed Simulation Cloning. Alternative Solutions for Cloning in
HLA-Based Distributed Simulation. Managing Scenarios. Algorithms for
Distributed Simulation Cloning. Experiments and Results of Simulation
Cloning Algorithms. APPLICATIONS: Hybrid Modeling and Simulation of a Huge
Crowd over an HGA. Massively Parallel M&S of a Large Crowd with GPGPU.
Index.