Advanced Computational Infrastructures for Parallel and Distributed Applications.
Title:
Advanced Computational Infrastructures for Parallel and Distributed Applications.
Author:
Li, Xiaolin.
ISBN:
9780470558010
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (542 pages)
Series:
Wiley series on parallel and distributed computing. ; v.66
Wiley series on parallel and distributed computing.
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 -- 5. Data-Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation -- 6. Adaptive Cartesian Methods for Modeling Airborne Dispersion -- 7. Parallel and Adaptive Simulation of Cardiac Fluid Dynamics -- 8. Quantum Chromodynamics on the BlueGene/L Supercomputer -- Part II Adaptive Computational Infrastructures -- 9. The SCIJump Framework for Parallel and Distributed Scientific Computing -- 10. Adaptive Computations in the Uintah Framework -- 11. Managing Complexity in Massively Parallel, Adaptive, Multiphysics Finite Element Applications -- 12. GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications -- 13. Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects -- 14. The Seine Data Coupling Framework for Parallel Scientific Applications -- Part III Dynamic Partitioning and Adaptive Runtime Management Frameworks -- 15. Hypergraph-Based Dynamic Partitioning and Load Balancing -- 16. Mesh Partitioning for Efficient Use of Distributed Systems -- 17. Variable Partition Inertia: Graph Repartitioning and Load Balancing for Adaptive Meshes -- 18. A Hybrid and Flexible Data Partitioner for Parallel SAMR -- 19. Flexible Distributed Mesh Data Structure for Parallel Adaptive Analysis.
20. HRMS: Hybrid Runtime Management Strategies for Large-Scale Parallel Adaptive Applications -- 21. Physics-Aware Optimization Method -- 22. DistDLB: Improving Cosmology SAMR Simulations on Distributed Computing Systems Through Hierarchical Load Balancing -- Index.
Abstract:
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 management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems. The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits. Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic
applications Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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