Concurrent Programming in Java: Design Principles and Patterns (Java Series) [Englisch] [Taschenbuch]

Within the dozens of techniques and tips offered here, this book accomplishes at least two goals. First, it shows how concurrency is implemented by default within Java, with material on how built-in features (like the synchronized keyword and its memory model) can be expected to perform when dealing with multiple threads. Naturally, the author also covers Java threads themselves (including priorities, scheduling and the like).

Next, much of this book looks at ways to improve performance of concurrent code beyond the simple default strategies. After defining criteria for measuring concurrent code (such as safety and "liveness", a measure of running live threads effectively), the author presents dozens of techniques for letting threads work together safely. For the working Java programmer, coverage of patterns that have been implemented in downloadable java.concurrency package will be the most immediately useful. (Within this nearly encyclopaedic survey, short code snippets are used for every pattern and concept.) Though theoretically written at times, this book offers plenty of ideas and sample code to get you started thinking of ways to improve multithreaded code.

Impressively comprehensive, Concurrent Programming in Java offers a veritable bible of techniques for doing two things at once with threads in Java. It's a worthwhile guide to the state-of-the-art strategies for improving the performance of your Java threads. --Richard Dragan, Amazon.com

Topics covered: Threads and concurrency in Java, design considerations: safety, liveness and performance, Before/After Patterns, layering, adapters, immutability and synchronisation, deadlock, resource ordering, the Java Memory Model and concurrency, using the java.concurrency package, confinement, refactoring for concurrency, mutexes, read-write locks, recovering from failure, notifications, semaphores, latches, exchanges, transactions, one-way messages, worker threads, polling and event-driven I/O, parallelism techniques: fork/join, computation trees and barriers, Communicating Sequential Processes (CSP).

Within the dozens of techniques and tips offered here, this book accomplishes at least two goals. First, it shows how concurrency is implemented by default within Java, with material on how built-in features (like the synchronized keyword and its memory model) can be expected to perform when dealing with multiple threads. Naturally, Java threads themselves are also covered, including priorities, scheduling, and the like.

Much of this book looks at ways to improve performance of concurrent code beyond the simple default strategies. After defining criteria for measuring concurrent code (such as safety and "liveness," a measure of running live threads effectively), the book presents dozens of techniques for letting threads work together safely. For the working Java programmer, coverage of patterns that have been implemented in the downloadable java.concurrency package will be the most immediately useful. (Within this nearly encyclopedic survey, short code snippets are used for every pattern and concept.)

Though theoretical at times, this book offers plenty of ideas and sample code to get you started thinking of ways to improve multithreaded code.

Impressively comprehensive, Concurrent Programming in Java offers a veritable bible of techniques for doing two things at once with threads in Java. It's a worthwhile guide to the state-of-the-art strategies for improving the performance of your Java threads. --Richard Dragan

Topics covered: Threads and concurrency in Java, design considerations (safety, liveness, and performance), Before/After Patterns, layering, adapters, immutability and synchronization, deadlock, resource ordering, the Java Memory Model and concurrency, using the java.concurrency package, confinement, refactoring for concurrency, mutexes, read-write locks, recovering from failure, notifications, semaphores, latches, exchanges, transactions, one-way messages, worker threads, polling and event-driven I/O, parallelism techniques (fork/join, computation trees, and barriers), Communicating Sequential Processes (CSP).