Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of reknown expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques.

The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging.

Next comes a series of seventeen detailed case studies-all dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline.

* Provides in-depth case studies of seventeen parallel computing applications, some built from scratch, others developed through parallelizing existing applications.
* Explains elements critical to all parallel programming environments, including:
** Terminology and architectures
** Programming models and methods
** Performance analysis and debugging tools
* Teaches primarily by example, showing how scientists in many fields have solved daunting problems using parallel computing.
* Covers a wide range of application areas-biology, aerospace, semiconductor design, environmental modeling, data imaging and analysis, fluid dynamics, and more.
* Summarizes the state of the art while looking to the future of parallel computing.
Presents technical animations and visualizations from many of the applications detailed in the case studies via a companion web site.

Chapter 1 - Parallel Computing ArchitecturesAlice E. Koniges, David C. Eder, Margaret Cahir Chapter 2 - Parallel Application PerformanceAlice E. Koniges Chapter 3 - Programming Models and MethodsMargaret Cahir, Robert Moench, Alice E. Koniges Chapter 4 - Parallel Programming ToolsMargaret Cahir, Robert Moench, Alice E. Koniges Chapter 5 - Optimizing for Single-Processor PerformanceJeff Brooks, Sara Graffunder, Alice E. Koniges Chapter 6 - Scheduling IssuesMorris A. Jette Chapter 7 - Ocean Modeling and VisualizationYi Chao, P. Peggy Li, Ping Wang, Daniel S. Katz, Benny N. Cheng, Scott Whitman Chapter 8 - Impact of Aircraft on Global Atmospheric ChemistryDouglas A. Rotman, John R. Tannahill, Steven L. Baughcum Chapter 9 - Petroleum Reservoir ManagementMichael DeLong, Allyson Gajraj, Wayne Joubert, Olaf Lubeck, James Sanderson, Robert E. Stephenson, Gautam S. Shiralkar, Bart van Bloemen Waanders Chapter 10 - An Architecture-Independent Navier-Stokes CodeJohnson C. T. Wang, Stephen Taylor Chapter 11 - Gaining Insights into the Flow in a Static MixerOlivier Byrde, Mark L. Sawley Chapter 12 - Modeling Groundwater Flow and Contaminant TransportWilliam J. Bosil, Steven F. Ashby, Chuck Baldwin, Robert D. Falgout, Steven G. Smith, Andrew F. B. Tompson Chapter 13 - Simulation of Plasma ReactorsStephen Taylor, Marc Rieffel, Jerrell Watts, Sadasivan Shankar Chapter 14 - Electron-Molecule Collisions for Plasma ModelingCarl Winstead, Chuo-Han Lee, Vincent McKoy Chapter 15 - Three-Dimensional Plasma Particle-in-Cell Calculations of Ion Thruster Backflow ContaminationRobie I. Samanta Roy, Daniel E. Hastings, Stephen Taylor Chapter 16 - Advanced Atomic-Level Materials DesignLin H. Yang Chapter 17 - Solving Symmetric Eigenvalue ProblemsDavid C. O'Neal, Raghurama Reddy Chapter 18 - Nuclear Magnetic Resonance SimulationsAlan J. Benesi, Kenneth M. Merz, James J. Vincent, Ravi Subramanya Chapter 19 - Molecular Dynamics Simulations Using Particle-Mesh Ewald MethodsMichael F. Crowley, David W. Deerfield II, Tom A. Darden, Thomas E. Cheatham III Chapter 20 - Radar Scattering and Antenna ModelingTom Cwik, Cinzia Zuffada, Daniel S. Katz, Jay Parker Chapter 21 - Functional Magnetic Resonance Imaging Dataset AnalysisNigel H. Goddard, Greg Hood, Jonathan D. Cohen, Leigh E. Nystrom, William F. Eddy, Christopher R. Genovese, Douglas C. Noll Chapter 22 - Selective and Sensitive Comparison of Genetic Sequence DataAlexander J. Ropelewski, Hugh B. Nicholas, Jr., David W. Deerfield II Chapter 23 - Interactive Optimization of Video Compression AlgorithmsHenri Nicolas, Fred Jordan Chapter 24 - Designing Industrial Parallel ApplicationsAlice E. Koniges, David C. Eder, Michael A. Heroux Chapter 25 - The Future of Industrial Parallel ComputingMichael A. Heroux, Horst Simon, Alice E. Koniges