Large-Scale Computing Techniques for Complex System Simulations

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John Wiley & Sons, Nov 22, 2011 - Science - 220 pages
Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology, astronomy, and many more. Technologies ranging from distributed computing to specialized hardware are explored and developed to address the computational requirements arising in complex systems simulations.

The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications. The intention is to identify new research directions in this field and to provide a communications platform facilitating an exchange of concepts, ideas and needs between the scientists and technologist and complex system modelers. On the application side, the book focuses on modeling and simulation of natural and man-made complex systems. On the computing technology side, emphasis is placed on the distributed computing approaches, but supercomputing and other novel technologies are also considered.

 

Contents

References
16
3
35
Acknowledgments
54
5
81
Building and Running Collaborative Distributed
111
LargeScale DataIntensive Computing
131
A TopologyAware Evolutionary Algorithm
141
Acknowledgments
161
References
184
INDEX
195
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About the author (2011)

Werner Dubitzky, PhD, is Chair of Bioinformatics at the Biomedical Sciences Research Institute in the Faculty of Life and Health Sciences at the University of Ulster. His research investigates systems biology, knowledge management in biology, grid computing, and data mining.

Krzysztof Kurowski, PhD, leads the Applications Department at Poznan Supercomputing and Networking Center in Poland. His research is focused on the modeling of advanced applications, scheduling, and resource management in networked environments.

Bernhard Schott, Dipl. Phys., is the EU-Research Program Manager for Platform Computing GmbH.

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