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Advanced computational infrastructures for parallel and distributed adaptive applications / edited by Manish Parashar, Xiaolin Li.

Contributor(s): Material type: TextTextSeries: Wiley series on parallel and distributed computingPublication details: Hoboken, N.J. : John Wiley & Sons, �2010.Description: 1 online resource (xx, 518 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780470558027
  • 0470558024
  • 9780470558010
  • 0470558016
  • 1282681729
  • 9781282681729
  • 9786612681721
  • 6612681721
Subject(s): Additional physical formats: Print version:: Advanced computational infrastructures for parallel and distributed adaptive applications.DDC classification:
  • 004/.35 22
LOC classification:
  • QA76.58 .A375 2010
Online resources:
Contents:
Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications; Contents; Preface; ACKNOWLEDGMENTS; Contributors; Biographies; 1. Introduction: Enabling Large-Scale Computational Science -- Motivations, Requirements, and Challenges; Part I Adaptive Applications in Science and Engineering; 2. Adaptive Mesh Refinement MHD Simulations of Tokamak Refueling; 3. Parallel Computing Engines for Subsurface Imaging Technologies; 4. Plane Wave Seismic Data: Parallel and Adaptive Strategies for Velocity Analysis and Imaging.
Summary: A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support. Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable--and therefore require full-fledged computational infrastructure support for problem solving, runtime man.
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Includes bibliographical references and index.

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications; Contents; Preface; ACKNOWLEDGMENTS; Contributors; Biographies; 1. Introduction: Enabling Large-Scale Computational Science -- Motivations, Requirements, and Challenges; Part I Adaptive Applications in Science and Engineering; 2. Adaptive Mesh Refinement MHD Simulations of Tokamak Refueling; 3. Parallel Computing Engines for Subsurface Imaging Technologies; 4. Plane Wave Seismic Data: Parallel and Adaptive Strategies for Velocity Analysis and Imaging.

A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support. Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable--and therefore require full-fledged computational infrastructure support for problem solving, runtime man.

Print version record.

English.

John Wiley and Sons Wiley Online Library: Complete oBooks

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