Java Concurrency in Practice, 1st edition
Published by Addison-Wesley Professional (May 9, 2006) © 2006
- Brian Goetz
- Tim Peierls
- Joshua Bloch
- Joseph Bowbeer
- David Holmes
- Doug Lea
- A print text (hardcover or paperback)Â
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As processors become faster and multiprocessor systems become cheaper, the
need to take advantage of multithreading in order to achieve full hardware
resource utilization only increases the importance of being able to incorporate
concurrency in a wide variety of application categories. For many developers,
concurrency remains a mystery. Developing, testing and debugging
multithreaded programs is extremely difficult because concurrency hazards do
not manifest themselves uniformly or reliably. This book is intended to be
neither an introduction to concurrency (any threading chapter in an "intro"
book does that) nor is it an encyclopedic reference of All Things Concurrency
(that would be Doug Lea's Concurrent Programming in Java). Instead, this title
is a combination of concepts, guidelines, and examples intended to assist
developers in the difficult process of understanding concurrency and its new
tools in J2SE 5.0. Filled with contributions from Java gurus such as Josh Bloch,
David Holmes and Doug Lea, this book provides any Java programmers with
the basic building blocks they need to gain a basic understanding of
concurrency and its benefits.
A how-to companion to Doug Lea's "Concurrent Programming in Java", this book is the only authorative and practical guide to Java Concurrency
° Powerhouse author team with contributions from Doug Lea, Josh Bloch and David Holmes
° A practical, hands-on, example-driven guide for every working Java programmer
° Based on J2SE 5.0 which includes many new concurrency features that make concurrency development much more accesible (and necessary)
Listings     xii
Preface     xvii
Chapter 1: Introduction     1
1.1  A (very) brief history of concurrency      1
1.2  Benefits of threads     3
1.3  Risks of threads      5
1.4  Threads are everywhere      9
Chapter 2: Thread Safety     15
2.1  What is thread safety?     17
2.2  Atomicity     19
2.3  Locking     23
2.4  Guarding state with locks      27
2.5  Liveness and performance      29
3.1  Visibility     33
3.2  Publication and escape      39
3.3  Thread confinement      42
3.4  Immutability      46
3.5  Safepublication      49
4.1  Designing a thread-safe class     55
4.2  Instance confinement      58
4.3  Delegating thread safety      62
4.4  Adding functionality to existing thread-safe classes      71
4.5  Documenting synchronization policies      74
5.1  Synchronized collections      79
5.2  Concurrent collections     84
5.3  Blocking queues and the producer-consumer pattern     87
5.4  Blocking and interruptible methods     92
5.5  Synchronizers     94
5.6  Building an efficient, scalable result cache     101
Chapter 6: Task Execution     113
6.1  Executing tasks in threads     113
6.2  The Executor framework     117
6.3  Finding exploitable parallelism     123
7.1  Task cancellation      135
7.2  Stopping a thread-based service      150
7.3  Handling abnormal thread termination      161
7.4  JVM shutdown      164
8.1  Implicit couplings between tasks and execution policies     167
8.2  Sizing thread pools     170
8.3  Configuring ThreadPoolExecutor     171
8.4  Extending ThreadPoolExecutor     179
8.5  Parallelizing recursive algorithms     181
9.1  Why are GUIs single-threaded?     189
9.2  Short-running GUI tasks     192
9.3  Long-running GUI tasks     195
9.4  Shared data models     198
9.5  Other forms of single-threaded subsystems     202
Chapter 10: Avoiding Liveness Hazards     205
10.1  Deadlock     205
10.2  Avoiding and diagnosing deadlocks     215
10.3  Other liveness hazards     218
11.1  Thinking about performance     221
11.2  Amdahl's law     225
11.3  Costs introduced by threads     229
11.4  Reducing lock contention      232
11.5  Example: Comparing Map performance     242
11.6  Reducing context switch overhead      243
12.1  Testing for correctness     248
12.2  Testing for performance      260
12.3  Avoiding performance testing pitfalls      266
12.4  Complementary testing approaches     270
Chapter 13: Explicit Locks     277
13.1  Lock and ReentrantLock     277
13.2  Performance considerations     282
13.3  Fairness      283
13.4  Choosing between synchronized and ReentrantLock      285
13.5  Read-write locks     286
14.1  Managing state dependence     291
14.2  Using condition queues     298
14.3  Explicit condition objects     306
14.4  Anatomy of a synchronizer     308
14.5  AbstractQueuedSynchronizer     311
14.6  AQS in java.util.concurrent synchronizer classes      314
15.1  Disadvantages of locking     319
15.2  Hardware support for concurrency      321
15.3  Atomic variable classes      324
15.4  Nonblocking algorithms      329
16.1Â Â What is a memory model, and why would I want one? Â Â Â Â Â 337
16.2  Publication     344
16.3  Initialization safety     349
A.1  Class annotations     353
A.2  Field andmethod annotations     353
Index     359
Brian Goetz is a software consultant with twenty years industry experience, with over 75 articles on Java development. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.
Tim Peierls is the very model of a modern multiprocessor, with BoxPop.biz, recording arts, and goings on theatrical. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.
Joshua Bloch is a principal engineer at Google and a Jolt Award-winner. He was previously a distinguished engineer at Sun Microsystems and a senior systems designer at Transarc. Josh led the design and implementation of numerous Java platform features, including JDK 5.0 language enhancements and the award-winning Java Collections Framework. He holds a Ph.D. in computer science from Carnegie Mellon University.
Joseph Bowbeer is a software architect at Vizrea Corporation where he specializes in mobile application development for the Java ME platform, but his fascination with concurrent programming began in his days at Apollo Computer. He served on the JCP Expert Group for JSR-166 (Concurrency Utilities).
David Holmes is director of DLTeCH Pty Ltd, located in Brisbane, Australia. He specializes in synchronization and concurrency and was a member of the JSR-166 expert group that developed the new concurrency utilities. He is also a contributor to the update of the Real-Time Specification for Java, and has spent the past few years working on an implementation of that specification.
Doug Lea is one of the foremost experts on object-oriented technology and software reuse. He has been doing collaborative research with Sun Labs for more than five years. Lea is Professor of Computer Science at SUNY Oswego, Co-director of the Software Engineering Lab at the New York Center for Advanced Technology in Computer Applications, and Adjunct Professor of Electrical and Computer Engineering at Syracuse University. In addition, he co-authored the book, Object-Oriented System Development (Addison-Wesley, 1993). He received his B.A., M.A., and Ph.D. from the University of New Hampshire.
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