Programming Concurrency on the JVM (for jay muratore) by Subramaniam, Venkat -- Read -- Imperial Library of Trantor

Index

Programming Concurrency on the JVM Table of Contents What Readers Are Saying About Programming Concurrency on the JVM Preface

Who’s This Book For? What’s in This Book? Is it Concurrency or Parallelism? Concurrency for Polyglot Programmers Examples and Performance Measurements Acknowledgments

Chapter 1: The Power and Perils of Concurrency

1.1 Threads: The Flow of Execution 1.2 The Power of Concurrency 1.3 The Perils of Concurrency 1.4 Recap

Part 1: Strategies for Concurrency Chapter 2: Division of Labor

2.1 From Sequential to Concurrent 2.2 Concurrency in IO-Intensive Apps 2.3 Speedup for the IO-Intensive App 2.4 Concurrency in Computationally Intensive Apps 2.5 Speedup for the Computationally Intensive App 2.6 Strategies for Effective Concurrency 2.7 Recap

Chapter 3: Design Approaches

3.1 Dealing with State 3.2 Exploring Design Options 3.3 Shared Mutable Design 3.4 Isolated Mutable Design 3.5 Purely Immutable Design 3.6 Persistent/Immutable Data Structures 3.7 Selecting a Design Approach 3.8 Recap

Part 2: Modern Java/JDK Concurrency Chapter 4: Scalability and Thread Safety

4.1 Managing Threads with ExecutorService 4.2 Coordinating Threads 4.3 Exchanging Data 4.4 Java 7 Fork-Join API 4.5 Scalable Collections 4.6 Lock vs. Synchronized 4.7 Recap

Chapter 5: Taming Shared Mutability

5.1 Shared Mutability != public 5.2 Spotting Concurrency Issues 5.3 Preserve Invariant 5.4 Mind Your Resources 5.5 Ensure Visibility 5.6 Enhance Concurrency 5.7 Ensure Atomicity 5.8 Recap

Part 3: Software Transactional Memory Chapter 6: Introduction to Software Transactional Memory

6.1 Synchronization Damns Concurrency 6.2 The Deficiency of the Object Model 6.3 Separation of Identity and State 6.4 Software Transactional Memory 6.5 Transactions in STM 6.6 Concurrency Using STM 6.7 Concurrency Using Akka/Multiverse STM 6.8 Creating Transactions 6.9 Creating Nested Transactions 6.10 Configuring Akka Transactions 6.11 Blocking Transactions—Sensible Wait 6.12 Commit and Rollback Events 6.13 Collections and Transactions 6.14 Dealing with the Write Skew Anomaly 6.15 Limitations of STM 6.16 Recap

Chapter 7: STM in Clojure, Groovy, Java, JRuby, and Scala

7.1 Clojure STM 7.2 Groovy Integration 7.3 Java Integration 7.4 JRuby Integration 7.5 Choices in Scala 7.6 Recap

Part 4: Actor-Based Concurrency Chapter 8: Favoring Isolated Mutability

8.1 Isolating Mutability Using Actors 8.2 Actor Qualities 8.3 Creating Actors 8.4 Sending and Receiving Messages 8.5 Working with Multiple Actors 8.6 Coordinating Actors 8.7 Using Typed Actors 8.8 Typed Actors and Murmurs 8.9 Mixing Actors and STM 8.10 Using Transactors 8.11 Coordinating Typed Actors 8.12 Remote Actors 8.13 Limitations of the Actor-Based Model 8.14 Recap

Chapter 9: Actors in Groovy, Java, JRuby, and Scala

9.1 Actors in Groovy with GPars 9.2 Java Integration 9.3 JRuby Akka Integration 9.4 Choices in Scala 9.5 Recap

Part 5: Epilogue Chapter 10: Zen of Programming Concurrency

10.1 Exercise Your Options 10.2 Concurrency: Programmer’s Guide 10.3 Concurrency: Architect’s Guide 10.4 Choose Wisely

Appendix 1: Clojure Agents Appendix 2: Web Resources Appendix 3: Bibliography