Getting Started with Unity 5: Leverage the power of Unity 5 to create amazing 3D games

by Dr. Edward Lavieri

Overview

Master the principles to make applications robust, scalable and responsive

Key Features

• Implement concurrent applications using the Java 9 Concurrency API and its new components
• Improve the performance of your applications and process more data at the same time, taking advantage of all of your resources
• Construct real-world examples related to machine learning, data mining, natural language processing, and more

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.

What You Will Learn

Master the principles that every concurrent application must follow

See how to parallelize a sequential algorithm to obtain better performance without data inconsistencies and deadlocks

Get the most from the Java Concurrency API components

Separate the thread management from the rest of the application with the Executor component

Execute phased-based tasks in an efficient way with the Phaser components

Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework

Find out how to use parallel Streams and Reactive Streams

Implement the "map and reduce" and "map and collect" programming models

Control the concurrent data structures and synchronization mechanisms provided by the Java Concurrency API

Implement efficient solutions for some actual problems such as data mining, machine learning, and more

Who This Book Is For

This book is for competent Java developers who have basic understanding of concurrency, but knowledge of effective implementation of concurrent programs or usage of streams for making processes more efficient is not required

Product Details

ISBN-13:	9781784398316
Publisher:	Packt Publishing
Publication date:	05/30/2015
Edition description:	New Edition
Pages:	184
Product dimensions:	7.50(w) x 9.25(h) x 0.39(d)

About the Author

Javier Fernandez Gonzalez is a software architect with almost 15 years of experience working with Java technologies. He has worked as a teacher, researcher, programmer, analyst, writer, and he now works as an architect in all types of projects related to Java, especially J2EE. As a teacher, has taken over 1,000 hours of training sessions in basic Java, J2EE, and the Struts framework. As a researcher, has worked in the field of information retrieval, developing applications for processing large amounts of data in Java, and he has participated in several journal articles and conference presentations as a coauthor. In recent years, has worked on developing J2EE web applications for various clients from different sectors (public administration, insurance, healthcare, transportation, and , many more). Currently, he works as a software architect. He is the author of Java 7 Concurrency Cookbook, Mastering Concurrency Programming with Java 8, First Edition, and Java 9 Concurrency Cookbook, Second Edition.

Table of Contents

1. The First Step - Concurrency Design Principles
2. Basic concurrency concepts
3. Possible problems in concurrent applications
4. A methodology to design concurrent algorithms
5. Java Concurrency API
6. Concurrency design patterns
7. Tips and tricks for designing concurrent algorithms
8. Summary
9. Working with Basic Elements - Threads and Runnables
10. Managing Lots of Threads - Executors
11. Getting the Most from Executors
12. Getting Data from Tasks - The Callable and Future Interfaces
13. Running Tasks Divided into Phases - The Phaser Class
14. Optimizing Divide and Conquer Solutions - The Fork/Join Framework
15. Processing Massive Datasets with Parallel Streams - The Map and Reduce Model
16. Processing Massive Datasets with Parallel Streams - The Map and Collect Model
17. Asynchronous Stream Processing - Reactive Streams
18. Diving into Concurrent Data Structures and Synchronization Utilities
19. Testing and Monitoring Concurrent Applications
20. Concurrency in JVM - Clojure and Groovy with the Gpars Library and Scala