Large-scale computing techniques [for complex system 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"--
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| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2012
|
| Schriftenreihe: | Wiley series on parallel and distributed computing
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
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| 020 | |a 9781118130506 |c oISBN |9 978-1-118-13050-6 | ||
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| 035 | |a (DE-599)GBV662090853 | ||
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| 245 | 1 | 0 | |a Large-scale computing techniques |b [for complex system simulations] |c ed. by Werner Dubitzky ... |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2012 | |
| 300 | |a XXI, 196 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Wiley series on parallel and distributed computing | |
| 500 | |a In der mitgedruckten CiP-Aufnahme irrtümlich gezählt als Bd. 80 der Schriftenreihe. - Includes bibliographical references and index | ||
| 520 | 1 | |a "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"-- | |
| 520 | 1 | |a "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"-- | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-025292883 | |
Datensatz im Suchindex
| _version_ | 1819601696292077568 |
|---|---|
| adam_text | Contents
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
1.4.1
Drawbacks of Cloud Computing
/ 9
1.4.2
Cloud Interfaces
/ 10
1.5
Grid and Cloud: Two Complementary Technologies
/ 12
1.6
Modeling and Simulation of Grid and
Cloud Computing
/ 13
1.6.1
GridSim and CloudSim Toolkits
/ 14
1.7
Summary and Outlook
/ 15
References
/ 16
2.
The e-Infrastructure Ecosystem: Providing Local
Support to Global Science
19
Erwin
haure
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
W
CONTENTS
2.2.1
The BalticGrid Infrastructure
/ 21
2.2.2
BalticGrid Applications: Providing Local Support to
Global Science
/ 22
2.2.3
The Pilot Applications
/ 23
2.2.4
BalticGrid s Support Model
/ 25
2.3
The
EGEE
Infrastructure
/ 25
2.3.1
The
EGEE
Production Service
/ 26
2.3.2
EGEE
and BalticGrid: e-Infrastructures in Symbiosis
/ 28
2.4
Industry and e-Infrastructures: The Baltic Example
/ 29
2.4.1
Industry and Grids
/ 29
2.4.2
Industry and Clouds, Clouds and e-Infrastructures
/ 30
2.4.3
Clouds: A New Way to Attract SMEs and Start-Ups
/ 30
2.5
The Future of European e-Infrastructures: The European
Grid Initiative (EGI) and the Partnership for Advanced
Computing in Europe
(PRACE)
Infrastructures
/ 31
2.5.1
Layers of the Ecosystem
/ 32
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
Bérezik,
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 System
59
Matthias Scheutz and Jack J. Harris
CONTENTS
VU
4.1
Introduction
/ 59
4.2
System Architecture
/ 62
4.3
System Implementation
/ 67
4.3.1
Key Components
/ 68
4.3.2
Novel Features in SWAGES
/ 69
4.4
A SWAGES Case Study
/ 71
4.4.1
Research Questions and Simulation Model
/ 71
4.4.2
The Simulation Environment
/ 72
4.4.3
Simulation Runs in SWAGES
/ 72
4.4.4
Data Management and Visualization
/ 73
4.5
Discussion
/ 74
4.5.1
Automatic Parallelization of Agent-Based Models
/ 75
4.5.2
Integrated Data Management
/ 76
4.5.3
Automatic Error Detection and Recovery
/ 76
4.5.4
SWAGES Compared to Other Frameworks
/ 76
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
5.4.1
Agents as Objects
/ 91
5.4.2
Scheduling
/ 91
5.4.3
Modeling
/ 91
5.5
Parallelism
/ 92
5.6
Implementation
/ 94
5.6.1
Context
/ 95
5.6.2
RepastProcess
/ 95
5.6.3
Scheduler
/ 96
5.6.4
Distributed Network
/ 97
5.6.5
Distributed Grid
/ 98
5.6.6
Data Collection and Logging
/ 99
5.6.7
Random Number Generation and Properties
/ 100
5.7
Example Application: Rumor Spreading
/ 101
5.7.1
Performance Results
/ 103
Vlil
CONTENTS
5.8
Summary and Future Work
/ 107
References
/ 107
6.
Building and Running Collaborative Distributed
Multiscale Applications
Ш
Katarzyna Rycerz
and Marian Bubak
6.1
Introduction
/
111
6.2
Requirements of Multiscale Simulations
/112
6.2.1
Interactions between Single-Scale Models
/ 113
6.2.2
Interoperability, Composability, and Reuse of
Simulation Models
/ 115
6.3
Available Technologies
/ 116
6.3.1
Tools for Multiscale Simulation Development
/116
6.3.2
Support for Composability
/117
6.3.3
Support for Simulation Sharing
/ 118
6.4
An Environment Supporting the
HLA
Component Model
/ 119
6.4.1
Architecture of the CompoHLA Environment
/ 119
6.4.2
Interactions within the CompoHLA Environment
/ 120
6.4.3
HLA
Components
/ 122
6.4.4
CompoHLA Component Users
/ 124
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
7.1.1
The Challenge
/ 131
7.1.2
The Opportunity
/ 132
7.2
Data-Intensive Computers
/ 132
7.3
Advanced Software Tools and Techniques
/ 134
7.3.1
Data Mining and Data Integration
/ 134
7.3.2
Making Data Mining Easier
/ 135
7.3.3
The ADMIRE Workbench
/ 137
7.4
Conclusion
/ 139
Acknowledgments
/ 139
References
/ 139
CONTENTS
ІХ
8.
A Topology-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
8.2.1
Modeling GRNs
/ 143
8.2.2
QCG-OMPI
/ 148
8.2.3
A Topology-Aware Evolutionary Algorithm
/ 152
8.3
Results and Discussion
/ 155
8.3.1
Scaling and Speedup of the Topology-Aware
Evolutionary Algorithm
/ 155
8.3.2
Reverse-Engineering Results
/ 158
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 Hérault, and Franck
Cappello
9.1
Introduction
/ 163
9.2
Distributed and Parallel Simulations
/ 165
9.3
Programming and Execution Environments
/168
9.3.1
QCG-OMPI
/ 169
9.3.2
QCG-ProActive
/ 171
9.4
QCG Middleware
/ 174
9.4.1
QCG-Computing Service
/ 175
9.4.2
QCG-Notification and Data Movement Services
/ 176
9.4.3
QCG-Broker Service
/ 177
9.5
Additional QCG Tools
/ 179
9.5.1
Eclipse Parallel Tools Platform (PTP) for QCG
/ 179
9.6
QosCosGrid Science Gateways
/ 180
9.7
Discussion and Related Work
/ 182
References
/ 184
GLOSSARY
187
INDEX
195
|
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| genre_facet | Aufsatzsammlung |
| id | DE-604.BV040445125 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T02:50:26Z |
| institution | BVB |
| isbn | 9780470592441 9781118130506 |
| language | English |
| lccn | 2011016571 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025292883 |
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| physical | XXI, 196 S. Ill., graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series on parallel and distributed computing |
| spellingShingle | Large-scale computing techniques [for complex system simulations] Computersimulation (DE-588)4148259-1 gnd |
| subject_GND | (DE-588)4148259-1 (DE-588)4143413-4 |
| title | Large-scale computing techniques [for complex system simulations] |
| title_auth | Large-scale computing techniques [for complex system simulations] |
| title_exact_search | Large-scale computing techniques [for complex system simulations] |
| title_full | Large-scale computing techniques [for complex system simulations] ed. by Werner Dubitzky ... |
| title_fullStr | Large-scale computing techniques [for complex system simulations] ed. by Werner Dubitzky ... |
| title_full_unstemmed | Large-scale computing techniques [for complex system simulations] ed. by Werner Dubitzky ... |
| title_short | Large-scale computing techniques |
| title_sort | large scale computing techniques for complex system simulations |
| title_sub | [for complex system simulations] |
| topic | Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Computersimulation Aufsatzsammlung |
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