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Preface | p. xi |
Contributors | p. xv |
Biographies | p. xix |
Introduction: Enabling Large-Scale Computational ScienceùMotivations, Requirements, and Challenges,Manish Parashar,Xiaolin Li | p. 1 |
Adaptive Applications in Science and Engineering | |
Adaptive Mesh Refinement MHD Simulations of Tokamak Refueling,Ravi Samtaney | p. 11 |
Parallel Computing Engines for Subsurface Imaging Technologies,Tian-Chyi J. Yeh,Xing Cai,Hans P. Langtangen,Junfeng Zhu,Chuen-Fa Ni | p. 29 |
Plane Wave Seismic Data: Parallel and Adaptive Strategies for Velocity Analysis and Imaging,Paul L. Stoffa,Mrinal K. Sen,Roustam K. Seif,Reynam C. Pestana | p. 45 |
Data-Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation,Charles S. Jackson,Mrinal K. Sen,Paul L. Stoffa,Gabriel Huerta | p. 65 |
Adaptive Cartesian Methods for Modeling Airborne Dispersion,Andrew Wissink,Branko Kosovic,Marsha Berger,Kyle Chand,Fotini K. Chow | p. 79 |
Parallel and Adaptive Simulation of Cardiac Fluid Dynamics,Boyce E. Griffith,Richard D. Hornung,David M. McQueen,Charles S. Peskin | p. 105 |
Quantum Chromodynamics on the BlueGene/L Supercomputer,Pavlos M. Vranas,Gyan Bhanot | p. 131 |
Adaptive Computational Infrastructure | |
The SCIJump Framework for Parallel and Distributed Scientific Computing,Steven G. Parker,Kostadin Damevski,Ayla Khan,Ashwin Swaminathan,Christopher R. Johnson | p. 151 |
Adaptive Computations in the Uintah Framework,Justin Luitjens,James Guilkey,Todd Harman,Bryan Worthen,Steven G. Parker | p. 171 |
Managing Complexity in Massively Parallel, Adaptive, Multiphysics Finite Element Applications,Harold C. Edwards | p. 201 |
GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications,Manish Parashar,Xiaolin Li | p. 249 |
Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects,Laxmikant V. Kale,Gengbin Zheng | p. 265 |
The Seine Data Coupling Framework for Parallel Scientific Applications,Li Zhang,Ciprian Docan,Manish Parashar | p. 283 |
Dynamic Partitioning and Adaptive Runtime Management Frameworks | |
Hypergraph-Based Dynamic Partitioning and Load Balancing,Umit V. Catalyurek,Doruk Bozda&gcaron;,Erik G. Boman,Karen D. Devine,Robert Heaphy,Lee A. Riesen | p. 313 |
Mesh Partitioning for Efficient Use of Distributed Systems,Jian Chen,Valerie E. Taylor | p. 335 |
Variable Partition Inertia: Graph Repartitioning and Load Balancing for Adaptive Meshes,Chris Walshaw | p. 357 |
A Hybrid and Flexible Data Partitioner for Parallel SAMR,Johan Steensland | p. 381 |
Flexible Distributed Mesh Data Structure for Parallel Adaptive Analysis,Mark S. Shephard,Seegyoung Seol | p. 407 |
HRMS: Hybrid Runtime Management Strategies for Large-Scale Parallel Adaptive Applications,Xiaolin Li,Manish Parashar | p. 437 |
Physics-Aware Optimization Method,Yeliang Zhang,Salim Hariri | p. 463 |
DistDLB: Improving Cosmology SAMR Simulations on Distributed Computing Systems Through Hierarchical Load Balancing,Zhiling Lan,Valerie E. Taylor,Yawei Li | p. 479 |
Index | p. 503 |
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