Large-Scale Simulation

Models, Algorithms, and Applications

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering, Science & Nature, Technology, Electricity, Programming, Software Development
Cover of the book Large-Scale Simulation by Dan Chen, Lizhe Wang, Jingying Chen, CRC Press
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Author: Dan Chen, Lizhe Wang, Jingying Chen ISBN: 9781351832885
Publisher: CRC Press Publication: December 19, 2017
Imprint: CRC Press Language: English
Author: Dan Chen, Lizhe Wang, Jingying Chen
ISBN: 9781351832885
Publisher: CRC Press
Publication: December 19, 2017
Imprint: CRC Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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