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Mastering Functional Programming

You're reading from   Mastering Functional Programming Functional techniques for sequential and parallel programming with Scala

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788620796
Length 380 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (23) Chapters Close

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. The Declarative Programming Style FREE CHAPTER 2. Functions and Lambdas 3. Functional Data Structures 4. The Problem of Side Effects 5. Effect Types - Abstracting Away Side Effects 6. Effect Types in Practice 7. The Idea of the Type Classes 8. Basic Type Classes and Their Usage 9. Libraries for Pure Functional Programming 10. Patterns of Advanced Functional Programming 11. Introduction to the Actor Model 12. The Actor Model in Practice 13. Use Case - A Parallel Web Crawler 1. Introduction to Scala 2. Assessments 3. Other Books You May Enjoy Index

Traditional model synchronization on monitors


Concurrency scenarios occur when you have two or more operations that are executed in parallel one with another. This parallelism can be either true parallelism or simulated parallelism. True parallelism is when your application is executed in parallel on two different CPU cores, like so:

 

Simulated parallelism is when all of your parallel tasks are executed on the same processor core, however the processor switches from one task to another from time to time. Every task is composed of so-called atomic actions—smallest tasks that cannot be interrupted until they complete. The processor can take a certain amount of atomic actions from one task, and then execute a certain number of atomic tasks from another task:

 

When you are writing a parallel application, you will often come across a situation where your tasks need to communicate one with another. One such situation when this may happen is when your concurrent tasks need to access some kind of...

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