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Mastering Concurrency Programming with Java 9, Second Edition

You're reading from   Mastering Concurrency Programming with Java 9, Second Edition Fast, reactive and parallel application development

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785887949
Length 516 pages
Edition 2nd Edition
Languages
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Author (1):
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Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
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Table of Contents (14) Chapters Close

Preface 1. The First Step - Concurrency Design Principles FREE CHAPTER 2. Working with Basic Elements - Threads and Runnables 3. Managing Lots of Threads - Executors 4. Getting the Most from Executors 5. Getting Data from Tasks - The Callable and Future Interfaces 6. Running Tasks Divided into Phases - The Phaser Class 7. Optimizing Divide and Conquer Solutions - The Fork/Join Framework 8. Processing Massive Datasets with Parallel Streams - The Map and Reduce Model 9. Processing Massive Datasets with Parallel Streams - The Map and Collect Model 10. Asynchronous Stream Processing - Reactive Streams 11. Diving into Concurrent Data Structures and Synchronization Utilities 12. Testing and Monitoring Concurrent Applications 13. Concurrency in JVM - Clojure and Groovy with the Gpars Library and Scala

Concurrency in Groovy with the GPars library

Groovy is a dynamic, object-oriented programming language for the Java platform similar to python, Ruby, or perl. GPars is a concurrency and parallelism framework for Groovy and Java. It introduces a lot of classes and elements to make parallel programming easier. The most important are:

  • Data parallelism: Provides mechanisms that allow you to process data structures in parallel
  • fork/join process: Allows you to implement concurrent algorithms using the divide and conquer technique
  • Actors: Implement a message-passing based concurrency model
  • Dataflow: Allows an alternative concurrency model to process data in a concurrent way
  • Agents: Inspired by the agents provided in the Clojure programming language explained in the first section of this book
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