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Learning Concurrent Programming in Scala

You're reading from Learning Concurrent Programming in Scala Practical Multithreading in Scala

Product type Paperback

Published in Feb 2017

Publisher

ISBN-13 9781786466891

Length 434 pages

Edition 2nd Edition

Languages

Scala

Concepts

Concurrency

Author (1):

Prokopec

View More author details

Table of Contents (19) Chapters

Learning Concurrent Programming in Scala - Second Edition

Credits

Foreword

About the Author

Acknowledgements

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introduction FREE CHAPTER

2. Concurrency on the JVM and the Java Memory Model

3. Traditional Building Blocks of Concurrency

4. Asynchronous Programming with Futures and Promises

5. Data-Parallel Collections

6. Concurrent Programming with Reactive Extensions

7. Software Transactional Memory

8. Actors

9. Concurrency in Practice

10. Reactors

Chapter 9. Concurrency in Practice

	"The best theory is inspired by practice."
	--Donald Knuth

We have studied a plethora of different concurrency facilities in this book. By now, you will have learned about dozens of different ways of starting concurrent computations and accessing shared data. Knowing how to use different styles of concurrency is useful, but it might not yet be obvious when to use which.

The goal of this final chapter is to introduce the big picture of concurrent programming. We will study the use cases for various concurrency abstractions, see how to debug concurrent programs, and how to integrate different concurrency libraries in larger applications. In this chapter, we will perform the following tasks:

Summarize the characteristics and typical uses of different concurrency frameworks introduced in the earlier chapters
Investigate how to deal with various kinds of bugs appearing in concurrent applications
Learn how to identify and resolve performance bottlenecks
Apply the...

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Authors (1)

Prokopec

Prokopec

Aleksandar Prokopec, who also authored the first edition of this book, is a concurrent and distributed programming researcher. He holds a PhD in computer science from the cole Polytechnique Fdrale de Lausanne, Switzerland. He has worked at Google and is currently a principal researcher at Oracle Labs. As a member of the Scala team at EPFL, Aleksandar actively contributed to the Scala programming language, and he has worked on programming abstractions for concurrency, data-parallel programming support, and concurrent data structures for Scala. He created the Scala Parallel Collections framework, which is a library for high-level data-parallel programming in Scala, and participated in working groups for Scala concurrency libraries, such as Futures, Promises, and ScalaSTM. Aleksandar is the primary author of the reactor programming model for distributed computing.

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