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Mastering Concurrency Programming with Java 8

You're reading from   Mastering Concurrency Programming with Java 8 Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

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Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781785886126
Length 430 pages
Edition 1st Edition
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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 (13) Chapters Close

Preface 1. The First Step – Concurrency Design Principles 2. Managing Lots of Threads – Executors FREE CHAPTER 3. Getting the Maximum from Executors 4. Getting Data from the Tasks – The Callable and Future Interfaces 5. Running Tasks Divided into Phases – The Phaser Class 6. Optimizing Divide and Conquer Solutions – The Fork/Join Framework 7. Processing Massive Datasets with Parallel Streams – The Map and Reduce Model 8. Processing Massive Datasets with Parallel Streams – The Map and Collect Model 9. Diving into Concurrent Data Structures and Synchronization Utilities 10. Integration of Fragments and Implementation of Alternatives 11. Testing and Monitoring Concurrent Applications Index

Implementation of alternatives with concurrent programming

Most of the examples we have implemented through the chapters of this book can be implemented using other components of the Java concurrency API. In this section, we will describe how to implement some of these alternatives.

The k-nearest neighbors' algorithm

You have implemented the k-nearest neighbors' algorithm in Chapter 2, Managing Lots of Threads – Executors, using an executor. This is a simple machine-learning algorithm used for supervised classification. You have a training set of previous classified examples. To obtain the class of a new example, you calculate the distance from this example to the training set of examples. The majority of classes in the nearest examples are the classes selected for the example. You can also implement this algorithm with one of the following components of the concurrency API:

  • Threads: You can implement this example using Thread objects. You have to execute the tasks executed...
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