Large-Scale Computing Techniques for Complex System Simulations (Wiley Series on Parallel and Distributed Computing) - Hardcover

Dubitzky, Werner; Kurowski, Krzysztof; Schott, Bernard

Hardcover

ISBN 10: 0470592443 ISBN 13: 9780470592441

Publisher: Wiley-IEEE Computer Society Pr, 2011

Synopsis

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.

About this title

About the Author

Werner Dubitzky, PhD, is Chair of Bioinformatics at the Biomedical Sciences Research Institute in the Faculty of Life and Health Sciences at the University of Ulster. His research investigates systems biology, knowledge management in biology, grid computing, and data mining.

Krzysztof Kurowski, PhD, leads the Applications Department at Poznan Supercomputing and Networking Center in Poland. His research is focused on the modeling of advanced applications, scheduling, and resource management in networked environments.

Bernhard Schott, Dipl. Phys., is the EU-Research Program Manager for Platform Computing GmbH.

From the Back Cover

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.

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.

Edition details

• Publisher: Wiley-IEEE Computer Society Pr
• Publication date: 2011
• ISBN 10: 0470592443
• ISBN 13: 9780470592441
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 220