Large Scale Computing Techniques for Complex System Simulations 1st Edition by Werner Dubitzky, Krzysztof Kurowski, Bernard Schott ISBN 978-0470592441 0470592443

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Product details: 

ISBN 10:  0470592443

ISBN 13:  978-0470592441

Author: Werner Dubitzky, Krzysztof Kurowski, Bernard Schott 

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.

Table of contents: 

1. State-of-the-Art Technologies for Large-Scale Computing
   Florian Feldhaus, Stefan Freitag, and Chaker El Amrani

   • Introduction

   • Grid Computing

   • Virtualization

   • Cloud Computing

   • Grid and Cloud: Two Complementary Technologies

   • Modeling and Simulation of Grid and Cloud Computing

   • Summary and Outlook

   • References

2. The e-Infrastructure Ecosystems: Providing Local Support to Global Science
   Erwin Laure and Åke Edlund

   • The Worldwide e-Infrastructure Landscape

   • BalticGrid: A Regional e-Infrastructure, Leveraging on the Global “Mothership” EGEE

   • The EGEE Infrastructure

   • Industry and e-Infrastructures: The Baltic Example

   • The Future of European e-Infrastructures: The European Grid Initiative (EGI) and the Partnership for Advanced Computing in Europe (PRACE) Infrastructures

   • Summary

   • Acknowledgments

   • References

3. Accelerated Many-Core GPU Computing for Physics and Astrophysics on Three Continents
   Rainer Spurzem et al.

   • Introduction

   • Astrophysical Application for Star Clusters and Galactic Nuclei

   • Hardware

   • Software

   • Results of Benchmarks

   • Adaptive Mesh Refinement Hydrosimulations

   • Physical Multiscale Discrete Simulation at IPE

   • Discussion and Conclusions

   • Acknowledgments

   • References

4. An Overview of the SimWorld Agent-Based Grid Experimentation Systems
   Matthew Scheutz and Jack J. Harris

   • Introduction

   • System Architecture

   • System Implementation

   • A SWAGES Case Study

   • Discussion

   • Conclusions

   • References

5. Repast HPC: A Platform for Large-Scale Agent-Based Modeling
   Nicholson Collier and Michael North

   • Introduction

   • Agent Simulation

   • Motivation and Related Work

   • From Repast S to Repast HPC

   • Parallelism

   • Implementation

   • Example Application: Rumor Spreading

   • Summary and Future Work

   • References

6. Building and Running Collaborative Distributed Multiscale Applications
   Katarzyna Rycerz and Marian Bubak

   • Introduction

   • Requirements of Multiscale Simulations

   • Available Technologies

   • An Environment Supporting the HLA Component Model

   • Case Study with the MUSE Application

   • Summary and Future Work

   • Acknowledgments

   • References

7. Large-Scale Data-Intensive Computing
   Mark Parsons

   • Digital Data: Challenge and Opportunity

   • Data-Intensive Computers

   • Advanced Software Tools and Techniques

   • Conclusion

   • Acknowledgments

   • References

8. A Topology-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks
   Martin Swain et al.

   • Introduction

   • Methodology

   • Results and Discussion

   • Conclusions

   • Acknowledgments

   • References

9. QosCosGrid e-Science Infrastructure for Large-Scale Complex System Simulations
   Krzysztof Kurowski et al.

   • Introduction

   • Distributed and Parallel Simulations

   • Programming and Execution Environments

   • QCG Middleware

   • Additional QCG Tools

   • QosCosGrid Science Gateways

   • Discussion and Related Work

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Tags: Werner Dubitzky, Krzysztof Kurowski, Bernard Schott, Large Scale, Computing Techniques, Complex System