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Large-scale computing techniques for complex system simulations / [edited by] Werner Dubitzky, Krzysztof Kurowski, Bernard Schott
Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Wiley series on parallel and distributed computing ; 80 | Wiley Series on Parallel and Distributed Computing Ser ; v.80Verlag: Hoboken, N.J : Wiley, 2012Auflage: Online-AusgBeschreibung: Online-Ressource (1 online resource (xxi, 196 p.)) : illISBN:- 1283400855
- 9781118130476
- 9781283400855
- 9780470592441
- 003.3
- 003/.3 23
- SCI040000
- QA76.9.C65
Inhalte:
Zusammenfassung: 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 andPPN: PPN: 80950362XPackage identifier: Produktsigel: ZDB-30-PAD | ZDB-30-PQE | ZDB-26-MYL | ZDB-38-EBR
Large-Scale Computing; Contents; Foreword; Preface; Contributors; Chapter 1: State-of-the-Art Technologies for Large-Scale Computing; 1.1 INTRODUCTION; 1.2 GRID COMPUTING; 1.3 VIRTUALIZATION; 1.4 CLOUD COMPUTING; 1.4.1 Drawbacks of Cloud Computing; 1.4.2 Cloud Interfaces; 1.5 GRID AND CLOUD: TWO COMPLEMENTARY TECHNOLOGIES; 1.6 MODELING AND SIMULATION OF GRID AND CLOUD COMPUTING; 1.6.1 GridSim and CloudSim Toolkits; 1.7 SUMMARY AND OUTLOOK; REFERENCES; Chapter 2: The e-Infrastructure Ecosystem: Providing Local Support to Global Science; 2.1 THE WORLDWIDE E-INFRASTRUCTURE LANDSCAPE
2.2 BALTICGRID: A REGIONAL E-INFRASTRUCTURE, LEVERAGING ON THE GLOBAL "MOTHERSHIP" EGEE2.2.1 The BalticGrid Infrastructure; 2.2.2 BalticGrid Applications: Providing Local Support to Global Science; 2.2.3 The Pilot Applications; 2.2.4 BalticGrid's Support Model; 2.3 THE EGEE INFRASTRUCTURE; 2.3.1 The EGEE Production Service; 2.3.2 EGEE and BalticGrid: e-Infrastructures in Symbiosis; 2.4 INDUSTRY AND E-INFRASTRUCTURES: THE BALTIC EXAMPLE; 2.4.1 Industry and Grids; 2.4.2 Industry and Clouds, Clouds and e-Infrastructures; 2.4.3 Clouds: A New Way to Attract SMEs and Start-Ups
2.5 THE FUTURE OF EUROPEAN E-INFRASTRUCTURES: THE EUROPEAN GRID INITIATIVE (EGI) AND THE PARTNERSHIP FOR ADVANCED COMPUTING IN EUROPE (PRACE) INFRASTRUCTURES2.5.1 Layers of the Ecosystem; 2.6 SUMMARY; ACKNOWLEDGMENTS; REFERENCES; Chapter 3: Accelerated Many-Core GPU Computing for Physics and Astrophysics on Three Continents; 3.1 INTRODUCTION; 3.2 ASTROPHYSICAL APPLICATION FOR STAR CLUSTERS AND GALACTIC NUCLEI; 3.3 HARDWARE; 3.4 SOFTWARE; 3.5 RESULTS OF BENCHMARKS; 3.6 ADAPTIVE MESH REFINEMENT HYDROSIMULATIONS; 3.7 PHYSICAL MULTISCALE DISCRETE SIMULATION AT IPE; 3.8 DISCUSSION AND CONCLUSIONS
ACKNOWLEDGMENTSREFERENCES; Chapter 4: An Overview of the SimWorld Agent-Based Grid Experimentation System; 4.1 INTRODUCTION; 4.2 SYSTEM ARCHITECTURE; 4.3 SYSTEM IMPLEMENTATION; 4.3.1 Key Components; 4.3.2 Novel Features in SWAGES; 4.4 A SWAGES CASE STUDY; 4.4.1 Research Questions and Simulation Model; 4.4.2 The Simulation Environment; 4.4.3 Simulation Runs in SWAGES; 4.4.4 Data Management and Visualization; 4.5 DISCUSSION; 4.5.1 Automatic Parallelization of Agent-Based Models; 4.5.2 Integrated Data Management; 4.5.3 Automatic Error Detection and Recovery
4.5.4 SWAGES Compared to Other Frameworks4.6 CONCLUSIONS; REFERENCES; Chapter 5: Repast HPC: A Platform for Large-Scale Agent-Based Modeling; 5.1 INTRODUCTION; 5.2 AGENT SIMULATION; 5.3 MOTIVATION AND RELATED WORK; 5.4 FROM REPAST S TO REPAST HPC; 5.4.1 Agents as Objects; 5.4.2 Scheduling; 5.4.3 Modeling; 5.5 PARALLELISM; 5.6 IMPLEMENTATION; 5.6.1 Context; 5.6.2 RepastProcess; 5.6.3 Scheduler; 5.6.4 Distributed Network; 5.6.5 Distributed Grid; 5.6.6 Data Collection and Logging; 5.6.7 Random Number Generation and Properties; 5.7 EXAMPLE APPLICATION: RUMOR SPREADING; 5.7.1 Performance Results
5.8 SUMMARY AND FUTURE WORK
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