Description

Book Synopsis

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 Uni

Table of Contents

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

Part I: Fundamentals 13

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

Chapter 3: Sharing Objects 33

3.1 Visibility 33
3.2 Publication and escape 39
3.3 Thread confinement 42
3.4 Immutability 46
3.5 Safepublication 49

Chapter 4: Composing Objects 55

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

Chapter 5: Building Blocks 79

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

Part II: Structuring Concurrent Applications 111

Chapter 6: Task Execution 113

6.1 Executing tasks in threads 113
6.2 The Executor framework 117
6.3 Finding exploitable parallelism 123

Chapter 7: Cancellation and Shutdown 135

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

Chapter 8: Applying Thread Pools 167

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

Chapter 9: GUI Applications 189

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

Part III: Liveness, Performance, and Testing 203

Chapter 10: Avoiding Liveness Hazards 205

10.1 Deadlock 205
10.2 Avoiding and diagnosing deadlocks 215
10.3 Other liveness hazards 218

Chapter 11: Performance and Scalability 221

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

Chapter 12: Testing Concurrent Programs 247

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

Part IV: Advanced Topics 275

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

Chapter 14: Building Custom Synchronizers 291

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

Chapter15: Atomic Variables and Nonblocking Synchronization 319

15.1 Disadvantages of locking 319
15.2 Hardware support for concurrency 321
15.3 Atomic variable classes 324
15.4 Nonblocking algorithms 329

Chapter 16: The Java Memory Model 337

16.1 What is a memory model, and why would I want one? 337
16.2 Publication 344
16.3 Initialization safety 349

Appendix A: Annotations for Concurrency 353

A.1 Class annotations 353
A.2 Field andmethod annotations 353

Bibliography 355
Index 359

Java Concurrency in Practice

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    A Paperback / softback by Brian Goetz, Tim Peierls, Joshua Bloch

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      View other formats and editions of Java Concurrency in Practice by Brian Goetz

      Publisher: Pearson Education (US)
      Publication Date: 01/06/2006
      ISBN13: 9780321349606, 978-0321349606
      ISBN10: 0321349601

      Description

      Book Synopsis

      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 Uni

      Table of Contents

      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

      Part I: Fundamentals 13

      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

      Chapter 3: Sharing Objects 33

      3.1 Visibility 33
      3.2 Publication and escape 39
      3.3 Thread confinement 42
      3.4 Immutability 46
      3.5 Safepublication 49

      Chapter 4: Composing Objects 55

      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

      Chapter 5: Building Blocks 79

      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

      Part II: Structuring Concurrent Applications 111

      Chapter 6: Task Execution 113

      6.1 Executing tasks in threads 113
      6.2 The Executor framework 117
      6.3 Finding exploitable parallelism 123

      Chapter 7: Cancellation and Shutdown 135

      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

      Chapter 8: Applying Thread Pools 167

      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

      Chapter 9: GUI Applications 189

      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

      Part III: Liveness, Performance, and Testing 203

      Chapter 10: Avoiding Liveness Hazards 205

      10.1 Deadlock 205
      10.2 Avoiding and diagnosing deadlocks 215
      10.3 Other liveness hazards 218

      Chapter 11: Performance and Scalability 221

      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

      Chapter 12: Testing Concurrent Programs 247

      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

      Part IV: Advanced Topics 275

      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

      Chapter 14: Building Custom Synchronizers 291

      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

      Chapter15: Atomic Variables and Nonblocking Synchronization 319

      15.1 Disadvantages of locking 319
      15.2 Hardware support for concurrency 321
      15.3 Atomic variable classes 324
      15.4 Nonblocking algorithms 329

      Chapter 16: The Java Memory Model 337

      16.1 What is a memory model, and why would I want one? 337
      16.2 Publication 344
      16.3 Initialization safety 349

      Appendix A: Annotations for Concurrency 353

      A.1 Class annotations 353
      A.2 Field andmethod annotations 353

      Bibliography 355
      Index 359

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