Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications (eBook)

Manish Parashar, PhD, is Professor of Electrical and Computer Engineering at Rutgers University, where he is also the director of the Applied Software Systems Laboratory and director of the NSF Center for Autonomic Computing. He has received numerous awards, including the Rutgers Board of Trustees Award for Excellence in Research (2004-2005) and the NSF CAREER Award (1999). Xiaolin Li, PhD, is Assistant Professor of Computer Science at Oklahoma State University.

Preface xi

Contributors xv

Biographies xix

1. Introduction: Enabling Large-Scale Computational Science--Motivations, Requirements, and
Challenges 1
Manish Parashar and Xiaolin Li

Part I Adaptive Applications in Science and Engineering

2. Adaptive Mesh Refinement MHD Simulations of Tokamak Refueling 11
Ravi Samtaney

3. Parallel Computing Engines for Subsurface Imaging Technologies 29
Tian-Chyi J. Yeh, Xing Cai, Hans P. Langtangen, Junfeng Zhu, and Chuen-Fa Ni

4. PlaneWave Seismic Data: Parallel and Adaptive Strategies for Velocity Analysis and Imaging 45
Paul L. Stoffa, Mrinal K. Sen, Roustam K. Seif, and Reynam C. Pestana

5. Data-Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation 65
Charles S. Jackson, Mrinal K. Sen, Paul L. Stoffa, and Gabriel Huerta

6. Adaptive Cartesian Methods for Modeling Airborne Dispersion 79
Andrew Wissink, Branko Kosovic, Marsha Berger, Kyle Chand, and Fotini K. Chow

7. Parallel and Adaptive Simulation of Cardiac Fluid Dynamics 105
Boyce E. Griffith, Richard D. Hornung, David M. McQueen, and Charles S. Peskin

8. Quantum Chromodynamics on the BlueGene/L Supercomputer 131
Pavlos M. Vranas and Gyan Bhanot

Part II Adaptive Computational Infrastructures

9. The SCIJump Framework for Parallel and Distributed Scientific Computing 151
Steven G. Parker, Kostadin Damevski, Ayla Khan, Ashwin Swaminathan, and Christopher R. Johnson

10. Adaptive Computations in the Uintah Framework 171
Justin Luitjens, James Guilkey, Todd Harman, Bryan Worthen, and Steven G. Parker

11. Managing Complexity in Massively Parallel, Adaptive, Multiphysics Finite Element Applications 201
Harold C. Edwards

12. GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications 249
Manish Parashar and Xiaolin Li

13. Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects 265
Laxmikant V. Kale and Gengbin Zheng

14. The Seine Data Coupling Framework for Parallel Scientific Applications 283
Li Zhang, Ciprian Docan, and Manish Parashar

Part III Dynamic Partitioning and Adaptive Runtime Management Frameworks

15. Hypergraph-Based Dynamic Partitioning and Load Balancing 313
Umit V. Catalyurek, Doruk Bozda?g, Erik G. Boman, Karen D. Devine, Robert Heaphy, and Lee A. Riesen

16. Mesh Partitioning for Efficient Use of Distributed Systems 335
Jian Chen and Valerie E. Taylor

17. Variable Partition Inertia: Graph Repartitioning and Load Balancing for Adaptive Meshes 357
Chris Walshaw

18. A Hybrid and Flexible Data Partitioner for Parallel SAMR 381
Johan Steensland

19. Flexible Distributed Mesh Data Structure for Parallel Adaptive Analysis 407
Mark S. Shephard and Seegyoung Seol

20. HRMS: Hybrid Runtime Management Strategies for Large-Scale Parallel Adaptive Applications 437
Xiaolin Li and Manish Parashar

21. Physics-Aware Optimization Method 463
Yeliang Zhang and Salim Hariri

22. DistDLB: Improving Cosmology SAMR Simulations on Distributed Computing Systems Through Hierarchical Load Balancing 479
Zhiling Lan, Valerie E. Taylor, and Yawei Li

Index 503

"This edited volume brings together a high-powered list of experts mostly from leading research instates and universities in the US to deal, with the various aspects of parallel and distributed computing. It shall be valued greatly all over the world. Written in a reasoned and intelligible manner, it shall have an assured place in the parallel and distributed computing library where it should be accessible to any reader
with a solid background in the subject." (Current Engineering Practice, 1 November 2010)