Java offers powerful multithreading capabilities -- even on operating systems that offer no inherent multithreading support. Multithreading gives Java developers a powerful tool for dramatically improving the responsiveness and performance of their programs. Now there's a complete guide to multithreaded programming with the Java 2 platform, written by multithreaded programming experts Bil Lewis and Daniel J. Berg. Start by understanding the rationale, fundamental concepts and foundations of multithreading, including the structures upon which threads are built, thread construction and lifecycles. Then, using extensive code examples, you'll master thread scheduling models; synchronization variables; and learn how to solve complex synchronization problems. The authors explain thread-specific data, and demonstrate how to leverage OS libraries to make Java multithreading more effective. They also cover multithreaded program design, interactions with RMI, tools for building threaded programs; and advanced techniques for maximizing thread performance.
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Bil Lewis is a consultant who has taught multithreading to over 3,000 programmers. He held a variety of engineering and marketing positions at Sun Microsystems, and co-authored Multithreaded Programming with Pthreads (Prentice Hall PTR).
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Multithreading gives developers using the Java 2 platform a powerful tool for dramatically improving the responsiveness and performance of their programs on any platform, even those without inherent multithreading support. Multithreaded Programming with Java Technology is the first complete guide to multithreaded development with the Java 2 platform. Multithreading experts Bil Lewis and Daniel J. Berg cover the underlying structures upon which threads are built; thread construction; and thread lifecycles, including birth, life, death, and cancellation. Next, using extensive code examples, they cover everything developers need to know to make the most of multithreading, including:
Powerful techniques and comprehensive example code for improving Java-based application performance with multithreading!
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