The Art of Concurrency is one of the few resources to focus on the implementation of the algorithm in shared-memory multi-core model, not just a theoretical model or a distributed-memory architecture. This book provides detailed explanations and examples that can be used to help you change the algorithm from serial to parallel code, together with advice and analysis to avoid errors that programmers typically make when they first try this calculation. Written by an Intel engineer with more than two decades of programming experience in parallel and simultaneously, this book will help you: Understanding parallelism and concurrency Explore the differences between programming for shared-memory and distributed-memory Learn guidelines for designing multithreaded applications, including testing and tuning Discover how to make best use of a different threading libraries, including yarn Windows, POSIX threads, OpenMP, and Intel Threading Building Blocks Explore how to apply the same algorithm, which involves sorting, searching, graphs, and other practical calculation The Art of Concurrency shows you how to keep the algorithm scalable to take advantage of new processor core with a more even.