Book Image

Mastering Concurrency Programming with Java 9 - Second Edition

By : Javier Fernández González
Book Image

Mastering Concurrency Programming with Java 9 - Second Edition

By: Javier Fernández González

Overview of this book

Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs. The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9's concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications. The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM.
Table of Contents (21 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

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