Organized to facilitate intuitive learning, this step-by-step manual includes basic and advanced models and algorithms, and software architecture for the implementation of large-scale distributed simulation. An indispensible reference, it offers background information on performance evaluation, and
Large-Scale Simulation: Models, Algorithms, and Applications
โ Scribed by Dan Chen, Lizhe Wang, Jingying Chen
- Publisher
- CRC Press
- Year
- 2012
- Tongue
- English
- Leaves
- 256
- Edition
- 0
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 authorsโ 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 mechanismsโsuch as simulation cloning methods and algorithmsโthat 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.
โฆ Subjects
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