Industrial Strength Parallel Computing : Programming Massively Parallel Processors

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. Industrial Strength Parallel Computing begins with a highly focused introduction to the parallel computing environment. This is followed by case studies of production-quality industrial and scientific applications. Ali are presented firsthand by the actual code developers. Each case study 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. Explains elements critical to all parallel programming environments, including, terminology and architectures, programming models and methods, and performance analysis, assessment, optimization, scheduling, and debugging tools. Provides in-depth case studies of seventeen parallel computing applications-some built from scratch, others developed through parallelizing existing applications. Teaches primarily by example, showing how scientists in many fields have solved daunting problems using parallel computing. Covers a wide range of application areas such as biology, aerospace, semiconductor design, environmental modeling, data imaging and analysis, and fluid dynamics. Presents technical animations and visualizations from many of the applications detailed in the case studies via a companion Web site.