Large-Scale Simulation - Models, Algorithms, and Applications (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	March 2017
First published:	2012
Authors:	Dan Chen • Lizhe Wang • Jingying Chen
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	259
ISBN-13:	978-1-138-07197-1
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > General Promotions
LSN:	1-138-07197-8
Barcode:	9781138071971

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