The book begins with introductory courses designed to provide a very focused knowledge of all relevant architecture, programming model, and performance issues, as well as basic approaches to valuation, scheduling optimization, and debugging. Next comes a series of seventeen detailed case studies-all dealing with industrial applications and scientific quality production, all served directly by the developers of the actual code. A final section highlights the insights of case studies that 'the most important and it turns eye to the future of the discipline. * Provide in-depth case study on seventeen parallel computing applications, some built from scratch, others are developed through parallelizing existing applications. * Describe the essential elements for all parallel programming environment, including: ** The terminology and architecture ** Programming models and methods ** Performance analysis and debugging tools * Teaches mainly by example, showing how scientists in various fields have to solve a daunting problem using parallel computing. * Includes a variety of application areas of biology, aerospace, semiconductor design, environmental modeling, imaging and data analysis, fluid dynamics, and more. * Outlines the state of the art, looking to the future of parallel computing. Presents technical animation and visualization of many applications detailed in case studies through a companion website.