Mastering MCP: The Definitive Guide to Parallel Programming is a comprehensive guide that focuses on providing practical programming skills for harnessing the power of modern parallel computers. The book covers the foundational concepts of parallel computing and then dives into specific programming models, including shared-memory programming using Pthreads and OpenMP, and distributed-memory programming using MPI and CUDA for GPUs.
The guide is designed to help both students and professionals alike, with a focus on good programming practices, performance analysis, and debugging. It uses a tutorial approach, starting with small programming examples and building up to more complex and challenging problems. The book also includes a variety of hands-on exercises and case studies to demonstrate how to develop and optimize parallel programs for high performance.