Mastering Concurrency Programming with Java 8 by Javier Fernandez Gonzalez

By Javier Fernandez Gonzalez

Master the foundations and strategies of multithreaded programming with the Java eight Concurrency API

About This Book

  • Implement concurrent functions utilizing the Java eight Concurrency API and its new components
  • Improve the functionality of your functions or approach extra information while, benefiting from your whole resources.
  • Construct real-world examples on the topic of desktop studying, info mining, photo processing, and client/server environments

Who This booklet Is For

If you're a useful Java developer with a great realizing of concurrency yet don't have any wisdom of ways to successfully enforce concurrent courses or use streams to make techniques extra effective, then this ebook is for you.

What you'll Learn

  • Design concurrent functions through changing a sequential set of rules right into a concurrent one
  • Discover how you can keep away from the entire attainable difficulties you may get in concurrent algorithms
  • Use the Executor framework to control concurrent projects with no developing threads
  • Extend and alter Executors to conform their habit for your needs
  • Solve difficulties utilizing the divide and triumph over process and the Fork/Join framework
  • Process enormous facts units with parallel streams and Map/Reduce implementation
  • Control data-race stipulations utilizing concurrent info constructions and synchronization mechanisms
  • Test and display screen concurrent applications

In Detail

Concurrency programming permits numerous huge initiatives to be divided into smaller sub-tasks, that are extra processed as person initiatives that run in parallel. all of the sub-tasks are mixed jointly as soon as the mandatory effects are accomplished; they're then merged to get the ultimate output. the full technique is especially complicated. This method is going from the layout of concurrent algorithms to the checking out section the place concurrent functions desire additional awareness. Java contains a complete API with loads of ready-to-use elements to enforce strong concurrency functions in an effective way, yet with a excessive flexibility to conform those parts in your needs.

The booklet begins with an entire description of layout rules of concurrent purposes and the way to parallelize a sequential set of rules. we are going to help you use the entire elements of the Java Concurrency API from fundamentals to the main complicated strategies to enforce them in strong concurrency functions in Java.

You could be utilizing real-world examples of advanced algorithms concerning laptop studying, info mining, normal language processing, picture processing in customer / server environments. subsequent, you are going to how one can use an important parts of the Java eight Concurrency API: the Executor framework to execute a number of projects on your functions, the phaser type to enforce concurrent projects divided into levels, and the Fork/Join framework to enforce concurrent projects that may be cut up into smaller difficulties (using the divide and triumph over technique). towards the top, we are going to hide the hot inclusions in Java eight API, the Map and decrease version, and the Map and acquire version. The publication also will educate you concerning the facts constructions and synchronization utilities to prevent data-race stipulations and different serious difficulties. eventually, the booklet ends with a close description of the instruments and strategies so that you can use to check a Java concurrent application.

Style and process

A whole advisor enforcing real-world examples with algorithms concerning computer studying, information mining, and usual language processing in client/server environments. the entire examples are defined in a step by step approach.

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Extra info for Mastering Concurrency Programming with Java 8

Example text

If you split the algorithm into a lot of small tasks (fine-grained granularity), the extra code introduced by the synchronization can provoke performance degradation. If you split the algorithm into fewer tasks than cores (coarse-grained granularity), you are not taking advantage of all the resources. Also, you must take into account the work every thread must do, especially if you implement a fine-grained granularity. If you have a task longer than the rest, that task will determine the execution time of the application.

The First Step – Concurrency Design Principles Users of computer systems are always looking for better performance for their systems. They want to get higher quality videos, better video games, and faster network speed. Some years ago, processors gave better performance to users by increasing their speed. But now, processors don't increase their speed. Instead of this, they add more cores so that the operating system can execute more than one task at a time. This is named concurrency. Concurrent programming includes all the tools and techniques to have multiple tasks or processes running at the same time in a computer, communicating and synchronizing between them without data loss or inconsistency.

Livery Place 35 Livery Street Birmingham B3 2PB, UK. com Credits Author Javier Fernández González Reviewers Antonio Gomes Rodrigues Bradley Symons Tagir Valeev Commissioning Editor Dipika Gaonkar Acquisition Editor Tushar Gupta Content Development Editor Shali Deeraj Technical Editor Gaurav Suri Copy Editor Dipti Mankame Project Coordinator Kinjal Bari Proofreaders Safis Editing Indexers Priya Sane Graphics Kirk D'Penha Production Coordinator Shantanu N. Zagade Cover Work Shantanu N. Zagade About the Author Javier Fernández González is a software architect with almost 15 years' experience with Java technologies.

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