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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

Chapter 5. Data-Parallel Collections

 

"Premature optimization is the root of all evil."

 
 --Donald Knuth

So far, we have been composing multiple threads of computation into safe concurrent programs. In doing so, we focused on ensuring their correctness. We saw how to avoid blocking in concurrent programs, react to the completion of asynchronous computations, and how to use concurrent data structures to communicate information between threads. All these tools made organizing the structure of concurrent programs easier. In this chapter, we will focus mainly on achieving good performance. We require minimal or no changes in the organization of existing programs, but we will study how to reduce their running time using multiple processors. Futures from the previous chapter allowed doing this to a certain extent, but they are relatively heavyweight and inefficient when the asynchronous computation in each future is short.

Data parallelism is a form of computation...

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