Large-Scale Simulation

Models, Algorithms, and Applications

Dan Chen, Lizhe Wang, Jingying Chen

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English

CRC Press
29 March 2017

Computing: general; Software Engineering; Computer science

Large-Scale Simulation: Models, Algorithms, and Applications 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.

The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms-such as simulation cloning methods and algorithms-that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena.

Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines.

By: Dan Chen, Lizhe Wang, Jingying Chen
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 362g
ISBN: 9781138071971
ISBN 10: 1138071978
Pages: 260
Publication Date: 29 March 2017
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

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.

"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."