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Large-Scale Computing Techniques for Complex System Simulations - Werner Dubitzky
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Werner Dubitzky:

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ISBN: 9781118130476

ID: 9781118130476

InhaltsangabeForeword xiPreface xvContributors xix1. State-of-the-Art Technologies for Large-Scale Computing 1Florian Feldhaus, Stefan Freitag, and Chaker El Amrani1.1 Introduction 11.2 Grid Computing 21.3 Virtualization 61.4 Cloud Computing 81.5 Grid and Cloud: Two Complementary Technologies 121.6 Modeling and Simulation of Grid and Cloud Computing 131.7 Summary and Outlook 15References 162. The e-Infrastructure Ecosystems: Providing Local Support to Global Science 19Erwin Laure and & #197 ke Edlund2.1 The Worldwide e-Infrastructure Landscape 192.2 BalticGrid: A Regional e-Infrastructure, Leveraging on the Global & #8220 Mothership& #8221 EGEE 212.3 The EGEE Infrastructure 252.4 Industry and e-Infrastructures: The Baltic Example 292.5 The Future of European e-Infrastructures: The European Grid Initiative (EGI) and the Partnership for Advanced Computing in Europe (PRACE) Infrastructures 312.6 Summary 33Acknowledgments 34References 343. Accelerated Many-Core GPU Computing for Physics and Astrophysics on Three Continents 35Rainer Spurzem, Peter Berczik, Ingo Berentzen, Wei Ge, Xiaowei Wang, Hsi-Yu Schive, Keigo Nitadori, Tsuyoshi Hamada, and Jos& #233 Fiestas3.1 Introduction 363.2 Astrophysical Application for Star Clusters and Galactic Nuclei 383.3 Hardware 403.4 Software 413.5 Results of Benchmarks 423.6 Adaptive Mesh Refinement Hydrosimulations 493.7 Physical Multiscale Discrete Simulation at IPE 493.8 Discussion and Conclusions 53Acknowledgments 54References 544. An Overview of the SimWorld Agent-Based Grid Experimentation Systems 59Matthew Scheutz and Jack J. Harris4.1 Introduction 594.2 System Architecture 624.3 System Implementation 674.4 A SWAGES Case Study 714.5 Discussion 744.6 Conclusions 78References 785. Repast HPC: A Platform for Large-Scale Agent-Based Modeling 81Nicholson Collier and Michael North5.1 Introduction 815.2 Agent Simulation 825.3 Motivation and Related Work 825.4 From Repast S to Repast HPC 905.5 Parallelism 925.6 Implementation 945.7 Example Application: Rumor Spreading 1015.8 Summary and Future Work 107References 1076. Building and Running Collaborative Distributed Multiscale Applications 111Katarzyna Rycerz and Marian Bubak6.1 Introduction 1116.2 Requirements of Multiscale Simulations 1126.3 Available Technologies 1166.4 An Environment Supporting the HLA Component Model 1196.5 Case Study with the MUSE Application 1246.6 Summary and Future Work 127Acknowledgments 128References 1297. Large-Scale Data-Intensive Computing 131Mark Parsons7.1 Digital Data: Challenge and Opportunity 1317.2 Data-Intensive Computers 1327.3 Advanced Software Tools and Techniques 1347.4 Conclusion 139Acknowledgments 139References 1398. A Topolpgy-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks 141Martin Swain, Camille Coti, Johannes Mandel, and Werner Dubitzky8.1 Introduction 1418.2 Methodology 1438.3 Results and Discussion 1558.4 Conclusions 160Acknowledgments 161References 1619. QosCosGrid e-Science Infrastructure for Large-Scale Co Large-Scale Computing Techniques for Complex System Simulations: InhaltsangabeForeword xiPreface xvContributors xix1. State-of-the-Art Technologies for Large-Scale Computing 1Florian Feldhaus, Stefan Freitag, and Chaker El Amrani1.1 Introduction 11.2 Grid Computing 21.3 Virtualization 61.4 Cloud Computing 81.5 Grid and Cloud: Two Complementary Technologies 121.6 Modeling and Simulation of Grid and Cloud Computing 131.7 Summary and Outlook 15References 162. The e-Infrastructure Ecosystems: Providing Local Support to Global Science 19Erwin Laure and & #197 ke Edlund2.1 The Worldwide e-Infrastructure Landscape 192.2 BalticGrid: A Regional e-Infrastructure, Leveraging on the Global & #8220 Mothership& #8221 EGEE 212.3 The EGEE Infrastructure 252.4 Industry and e-Infrastructures: The Baltic Example 292.5 The Future of European e-Infrastructures: The European Grid Initiative (EGI) and the Partnership for Advanced Computing in Europe (PRACE) Infrastructures 312.6 Summary 33Acknowledgments 34References 343. Accelerated Many-Core GPU Computing for Physics and Astrophysics on Three Continents 35Rainer Spurzem, Peter Berczik, Ingo Berentzen, Wei Ge, Xiaowei Wang, Hsi-Yu Schive, Keigo Nitadori, Tsuyoshi Hamada, and Jos& #233 Fiestas3.1 Introduction 363.2 Astrophysical Application for Star Clusters and Galactic Nuclei 383.3 Hardware 403.4 Software 413.5 Results of Benchmarks 423.6 Adaptive Mesh Refinement Hydrosimulations 493.7 Physical Multiscale Discrete Simulation at IPE 493.8 Discussion and Conclusions 53Acknowledgments 54References 544. An Overview of the SimWorld Agent-Based Grid Experimentation Systems 59Matthew Scheutz and Jack J. Harris4.1 Introduction 594.2 System Architecture 624.3 System Implementation 674.4 A SWAGES Case Study 714.5 Discussion 744.6 Conclusions 78References 785. Repast HPC: A Platform for Large-Scale Agent-Based Modeling 81Nicholson Collier and Michael North5.1 Introduction 815.2 Agent Simulation 825.3 Motivation and Related Work 825.4 From Repast S to Repast HPC 905.5 Parallelism 925.6 Implementation 945.7 Example Application: Rumor Spreading 1015.8 Summary and Future Work 107References 1076. Building and Running Collaborative Distributed Multiscale Applications 111Katarzyna Rycerz and Marian Bubak6.1 Introduction 1116.2 Requirements of Multiscale Simulations 1126.3 Available Technologies 1166.4 An Environment Supporting the HLA Component Model 1196.5 Case Study with the MUSE Application 1246.6 Summary and Future Work 127Acknowledgments 128References 1297. Large-Scale Data-Intensive Computing 131Mark Parsons7.1 Digital Data: Challenge and Opportunity 1317.2 Data-Intensive Computers 1327.3 Advanced Software Tools and Techniques 1347.4 Conclusion 139Acknowledgments 139References 1398. A Topolpgy-Aware Evolutionary Algorithm for Reverse-Engineering Gene Regulatory Networks 141Martin Swain, Camille Coti, Johannes Mandel, and Werner Dubitzky8.1 Introduction 1418.2 Methodology 1438.3 Results and Discussion 1558.4 Conclusions 160Acknowledgments 161References 1619. QosCosGrid e-Science Infrastructure for Large-Scale Co Computertechnik Nichtlineare u. komplexe Systeme Computer Engineering Physics Systems Engineering & Management Electrical & Electronics Engineering Systemtechnik u. -management Elektrotechnik u. Elektronik Nonlinear and Complex Systems Physik, John Wiley & Sons

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Large-Scale Computing Techniques for Complex System Simulations - Dubitzky, Werner; Kurowski, Krzysztof; Schott, Bernard
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Dubitzky, Werner; Kurowski, Krzysztof; Schott, Bernard:

Large-Scale Computing Techniques for Complex System Simulations - neues Buch

2011, ISBN: 1118130472

ID: 9781118130476

In englischer Sprache. Verlag: John Wiley & Sons, 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, PC-PDF, 240 Seiten, 240 Seiten, 1., Auflage, [GR: 9684 - Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik], [SW: - Anlagenbau Elektronik und Nachrichtentechnik (Kommunikationstechnik)], [Ausgabe: 1][PU:John Wiley & Sons]

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Large-Scale Computing Techniques for Complex System Simulations - Werner Dubitzky#Krzysztof Kurowski#Bernard Schott
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Werner Dubitzky#Krzysztof Kurowski#Bernard Schott:
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Complex systems modeling and simulation approaches are beingadopted in a growing number of sectors, including finance,economics, biology, astronomy, and many more. Technologiesranging from distributed computing to specialized hardware areexplored and developed to address the computational requirementsarising in complex systems simulations. The aim of this book is to present a representative overview ofcontemporary large-scale computing technologies in the context ofcomplex systems simulations applications. The intention is toidentify new research directions in this field and to provide acommunications platform facilitating an exchange of concepts, ideasand needs between the scientists and technologist and complexsystem modelers. On the application side, the book focuses onmodeling and simulation of natural and man-made complexsystems. On the computing technology side, emphasis is placedon the distributed computing approaches, but supercomputing andother novel technologies are also considered. Large-Scale Computing Techniques for Complex System Simulations eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, John Wiley & Sons Inc

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Large-Scale Computing Techniques for Complex System Simulations - neues Buch

ISBN: 9781118130476

ID: 21637245

Complex systems modeling and simulation approaches are beingadopted in a growing number of sectors, including finance,economics, biology, astronomy, and many more. Technologiesranging from distributed computing to specialized hardware areexplored and developed to address the computational requirementsarising in complex systems simulations.The aim of this book is to present a representative overview ofcontemporary large-scale computing technologies in the context ofcomplex systems simulations applications. The intention is toidentify new research directions in this field and to provide acommunications platform facilitating an exchange of concepts, ideasand needs between the scientists and technologist and complexsystem modelers. On the application side, the book focuses onmodeling and simulation of natural and man-made complexsystems. On the computing technology side, emphasis is placedon the distributed computing approaches, but supercomputing andother novel technologies are also considered. Large-Scale Computing Techniques for Complex System Simulations eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, John Wiley & Sons Inc

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Large-Scale Computing Techniques for Complex System Simulations - Werner Dubitzky
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Werner Dubitzky:
Large-Scale Computing Techniques for Complex System Simulations - neues Buch

ISBN: 9781118130476

ID: 9781118130476

InhaltsangabeForeword xiPreface xvContributors xix1. State-of-the-Art Technologies for Large-Scale Computing 1, John Wiley & Sons

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Large-Scale Computing Techniques for Complex System Simulations
Autor:

Kurowski, Krzysztof;Schott, Bernard;Dubitzky, Werner

Titel:

Large-Scale Computing Techniques for Complex System Simulations

ISBN-Nummer:

1118130472

Detailangaben zum Buch - Large-Scale Computing Techniques for Complex System Simulations


EAN (ISBN-13): 9781118130476
ISBN (ISBN-10): 1118130472
Erscheinungsjahr: 2011
Herausgeber: Wiley, J
240 Seiten
Sprache: eng/Englisch

Buch in der Datenbank seit 15.08.2012 18:10:24
Buch zuletzt gefunden am 07.07.2016 16:56:12
ISBN/EAN: 1118130472

ISBN - alternative Schreibweisen:
1-118-13047-2, 978-1-118-13047-6

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