Structured Parallel Programming: Patterns for Efficient Computation

With the emergence of multicore processors as the standard for all computers, developers need to learn parallel programming to stay current and competitive. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present theory and practice and give detailed, concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting-edge programming models for parallel programming: Threading Building Blocks and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.