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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

Debugging concurrent programs


Concurrent programming is much harder than sequential programming. There are multiple reasons for this. First, the details of the memory model are much more important in concurrent programming, resulting in increased programming complexity. Even on a platform with a well-defined memory model, such as the JVM, the programmer must take care to use proper memory access primitives in order to avoid data races. Then, it is harder to track the execution of a multithreaded program, simply because there are multiple executions proceeding simultaneously. Language debuggers are still focused on tracking the execution of a single thread at a time. Deadlocks and inherent nondeterminism are another source of bugs, neither of which is common in sequential programs. To make things worse, all these issues only have to do with ensuring the correctness of a concurrent program. Ensuring improved throughput and performance opens a separate set of problems, and is often harder than...

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