Java Threads Understanding And Mastering Concurrent Programming 3rd Edition
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Java Threads
Threads are essential to Java programming, but learning to use them effectively is a nontrivial task. This new edition of the classic Java Threads shows you how to take full advantage of Java's threading facilities and brings you up-to-date with the watershed changes in Java 2 Standard Edition version 5.0 (J2SE 5.0). It provides a thorough, step-by-step approach to threads programming.Java's threading system is simple relative to other threading systems. In earlier versions of Java, this simplicity came with tradeoffs: some of the advanced features in other threading systems were not available in Java. J2SE 5.0 changes all that: it provides a large number of new thread-related classes that make the task of writing multithreaded programs that much easier.You'll learn where to use threads to increase efficiency, how to use them effectively, and how to avoid common mistakes. This book discusses problems like deadlock, race conditions, and starvation in detail, helping you to write code without hidden bugs.Java Threads, Third Edition, has been thoroughly expanded and revised. It incorporates the concurrency utilities from java.util.concurrent throughout. New chapters cover thread performance, using threads with Swing, threads and Collection classes, thread pools, and threads and I/O (traditional, new, and interrupted). Developers who cannot yet deploy J2SE 5.0 can use thread utilities provided in the Appendix to achieve similar functionality with earlier versions of Java.Topics include: Lock starvation and deadlock detection Atomic classes and minimal synchronization (J2SE 5.0) Interaction of Java threads with Swing, I/O, and Collection classes Programmatically controlled locks and condition variables (J2SE 5.0) Thread performance and security Thread pools (J2SE 5.0) Thread groups Platform-specific thread scheduling Task schedulers (J2SE 5.0) Parallelizing loops for multiprocessor machines In short, this new edition of Java Threads covers everything you need to know about threads, from the simplest animation program to the most complex applications. If you plan to do any serious work in Java, you will find this book invaluable.Scott Oaks is a senior software engineer for the Java Performance Engineering group at Sun Microsystems and the author of four books in the O'Reilly Java series.Formerly a senior systems engineer at Sun Microsystems, Henry Wong is an independent consultant working on various Java related projects.
Java Concurrency in Practice
Threads are a fundamental part of the Java platform. As multicore processors become the norm, using concurrency effectively becomes essential for building high-performance applications. Java SE 5 and 6 are a huge step forward for the development of concurrent applications, with improvements to the Java Virtual Machine to support high-performance, highly scalable concurrent classes and a rich set of new concurrency building blocks. In Java Concurrency in Practice, the creators of these new facilities explain not only how they work and how to use them, but also the motivation and design patterns behind them. However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant. This book covers: Basic concepts of concurrency and thread safety Techniques for building and composing thread-safe classes Using the concurrency building blocks in java.util.concurrent Performance optimization dos and don'ts Testing concurrent programs Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model