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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Dive into the Scala framework with this programming guide, created to help you learn Scala and to build intricate, modern, scalable concurrent applications

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Product type Paperback
Published in Nov 2014
Publisher Packt
ISBN-13 9781783281411
Length 366 pages
Edition 1st Edition
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Author (1):
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Aleksandar Prokopec Aleksandar Prokopec
Author Profile Icon Aleksandar Prokopec
Aleksandar Prokopec
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Table of Contents (11) Chapters Close

Preface 1. Introduction 2. Concurrency on the JVM and the Java Memory Model FREE CHAPTER 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 Index

Atomic primitives

In Chapter 2, Concurrency on the JVM and the Java Memory Model, we learned that memory writes do not happen immediately unless proper synchronization is applied. A set of memory writes is not executed at once, that is, atomically. We saw that visibility is ensured by the happens-before relationship, and we relied on the synchronized statement to achieve it. Volatile fields were a more lightweight way of ensuring happens-before relationships but a less powerful synchronization construct. Recall how volatile fields alone could not implement the getUniqueId method correctly.

In this section, we study atomic variables that provide basic support for executing multiple memory reads and writes at once. Atomic variables are volatile variables' close cousins but are more expressive than volatile variables; they are used to build complex concurrent operations without relying on the synchronized statement.

Atomic variables

An atomic variable is a memory location that supports complex...

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