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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 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 Index

Using parallel collections

Most of the concurrent programming utilities we have studied so far are used in order to enable different threads of computation to exchange information. Atomic variables, the synchronized statement, concurrent queues, futures, and promises are focused on ensuring the correctness of a concurrent program. On the other hand, the parallel collections programming model is designed to be largely identical to that of sequential Scala collections; parallel collections exist solely in order to improve the running time of the program. In this chapter, we will measure the relative speedup of programs using parallel collections. To make this task easier, we will introduce the timed method to the package object used for the examples in this chapter. This method takes a block of code body, and returns the running time of the executing block of code body. It starts by recording the current time with the nanoTime method from the JDK System class. It then runs the body, records...

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