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Large-Scale Computing Techniques for Complex Sy, Dubitzky, Kurowski, Schott+=
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eBay-objectnummer:392509706411
Specificaties
- Objectstaat
- PublishedOn
- 2011-12-23
- ISBN
- 9780470592441
- EAN
- 9780470592441
- Publication Name
- Large-Scale Computing Techniques for Complex System Simulations
- Item Length
- 9.6in
- Publisher
- Wiley & Sons, Incorporated, John
- Publication Year
- 2011
- Series
- Wiley Series on Parallel and Distributed Computing Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.6in
- Item Width
- 6.4in
- Item Weight
- 16.2 Oz
- Number of Pages
- 220 Pages
Over dit product
Product Information
Discover the Latest Computing Technology Needed to Design State-of-the-Art complex system simulations Complex system simulations increasingly support informed decision-making in such fields as finance, economics, biology, astronomy, and many more. With this book as their guide, readers can master large-scale computing technologies and then use them to develop complex system simulations. Large-Scale Computing Techniques for Complex System Simulations not only presents the current state of the technology, it also points to new directions for research in the field as well as emerging applications. This text examines a remarkably wide range of computing technologies and applications. Its presentation of computing technologies emphasizes distributed computing approaches, but also considers supercomputing and other novel technologies. On the applications side, the book discusses modeling and simulation of both natural and man-made complex systems. Specifically, the book presents such critical topics as: e-Infrastructure ecosystems Accelerated many-core GPU computing on three continents SimWorld agent-based grid experimentation systems Collaborative distributed multi-scale applications Large-scale data intensive computing QosCosGrid e-science infrastructure Throughout the text, readers will find state-of-the-art software technologies alongside best practices, tools, and middleware services to help them perform advanced complex system research using simulations. Moreover, the authors have included numerous examples of actual applications and their performance results to help readers design and perform their own simulations. Bridging the gap between computer technology and complex system simulation, Large-Scale Computing Techniques for Complex System Simulations serves as a design blueprint, user guide, and research agenda for all researchers, practitioners, scientists, and students interested in developing simulations that can accurately reflect and predict complex systems.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470592443
ISBN-13
9780470592441
eBay Product ID (ePID)
102980352
Product Key Features
Publication Name
Large-Scale Computing Techniques for Complex System Simulations
Format
Hardcover
Language
English
Publication Year
2011
Series
Wiley Series on Parallel and Distributed Computing Ser.
Type
Textbook
Number of Pages
220 Pages
Dimensions
Item Length
9.6in
Item Height
0.6in
Item Width
6.4in
Item Weight
16.2 Oz
Additional Product Features
Series Volume Number
80
Lc Classification Number
Qa76.9.C65l37 2011
Table of Content
Foreword xi Preface xv Contributors xix 1. State-of-the-Art Technologies for Large-Scale Computing 1 Florian Feldhaus, Stefan Freitag, and Chaker El Amrani 1.1 Introduction 1 1.2 Grid Computing 2 1.3 Virtualization 6 1.4 Cloud Computing 8 1.5 Grid and Cloud: Two Complementary Technologies 12 1.6 Modeling and Simulation of Grid and Cloud Computing 13 1.7 Summary and Outlook 15 References 16 2. The e-Infrastructure Ecosystems: Providing Local Support to Global Science 19 Erwin Laure and Åke Edlund 2.1 The Worldwide e-Infrastructure Landscape 19 2.2 BalticGrid: A Regional e-Infrastructure, Leveraging on the Global "Mothership" EGEE 21 2.3 The EGEE Infrastructure 25 2.4 Industry and e-Infrastructures: The Baltic Example 29 2.5 The Future of European e-Infrastructures: The European Grid Initiative (EGI) and the Partnership for Advanced Computing in Europe (PRACE) Infrastructures 31 2.6 Summary 33 Acknowledgments 34 References 34 3. Accelerated Many-Core GPU Computing for Physics and Astrophysics on Three Continents 35 Rainer Spurzem, Peter Berczik, Ingo Berentzen, Wei Ge, Xiaowei Wang, Hsi-Yu Schive, Keigo Nitadori, Tsuyoshi Hamada, and José Fiestas 3.1 Introduction 36 3.2 Astrophysical Application for Star Clusters and Galactic Nuclei 38 3.3 Hardware 40 3.4 Software 41 3.5 Results of Benchmarks 42 3.6 Adaptive Mesh Refinement Hydrosimulations 49 3.7 Physical Multiscale Discrete Simulation at IPE 49 3.8 Discussion and Conclusions 53 Acknowledgments 54 References 54 4. An Overview of the SimWorld Agent-Based Grid Experimentation Systems 59 Matthew Scheutz and Jack J. Harris 4.1 Introduction 59 4.2 System Architecture 62 4.3 System Implementation 67 4.4 A SWAGES Case Study 71 4.5 Discussion 74 4.6 Conclusions 78 References 78 5. Repast HPC: A Platform for Large-Scale Agent-Based Modeling 81 Nicholson Collier and Michael North 5.1 Introduction 81 5.2 Agent Simulation 82 5.3 Motivation and Related Work 82 5.4 From Repast S to Repast HPC 90 5.5 Parallelism 92 5.6 Implementation 94 5.7 Example Application: Rumor Spreading 101 5.8 Summary and Future Work 107 References 107 6. Building and Running Collaborative Distributed Multiscale Applications 111 Katarzyna Rycerz and Marian Bubak 6.1 Introduction 111 6.2 Requirements of Multiscale Simulations 112 6.3 Available Technologies 116 6.4 An Environment Supporting the HLA Component Model 119 6.5 Case Study with the MUSE Application 124 6.6 Summary and Future Work 127 Acknowledgments 128 References 129 7. Large-Scale Data-Intensive Computing 131 Mark Parsons 7.1 Digital Data: Challenge and Opportunity 131 7.2 Data-Intensive Computers 132 7.3 Advanced Software Tools and Techniques 134 7.4 Conclusion 139 Acknowledgments 139 References 139 8. A Topolpgy-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks 141 Martin Swain, Camille Coti, Johannes Mandel, and Werner Dubitzky 8.1 Introduction 141 8.2 Methodology 143 8.3 Results and Discussion 155 8.4 Conclusions 160 Acknowledgments 161 References 161 9. QosCosGrid e-Science Infrastructure for Large-Scale Complex System Simulations 163 Krzysztof Kurowski, Bartosz Bosak, Piotr Grabowski, Mariusz Mamonski, Tomasz Piontek, George Kampis, László Gulyás, Camille Coti, Thomas Herault, and Franck Cappello 9.1 Introduction 163 9.2 Distributed and Parallel Simulations 165 9.3 Programming and Execution Environments 168 9.4 QCG Middleware 174 9.5 Additional QCG Tools 179 9.6 QosCosGrid Science Gateways 180 9.7 Discussion and Related Work 182 References 184 Glossary 187 Index 195
Copyright Date
2012
Topic
Computer Simulation, Physics / Mathematical & Computational
Lccn
2011-016571
Dewey Decimal
003.3
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Science
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