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Learning C++ Functional Programming

You're reading from   Learning C++ Functional Programming Explore functional C++ with concepts like currying, metaprogramming and more

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787281974
Length 304 pages
Edition 1st Edition
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Author (1):
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Wisnu Anggoro Wisnu Anggoro
Author Profile Icon Wisnu Anggoro
Wisnu Anggoro
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Table of Contents (9) Chapters Close

Preface 1. Diving into Modern C++ 2. Manipulating Functions in Functional Programming FREE CHAPTER 3. Applying Immutable State to the Function 4. Repeating Method Invocation Using Recursive Algorithm 5. Procrastinating the Execution Process Using Lazy Evaluation 6. Optimizing Code with Metaprogramming 7. Running Parallel Execution Using Concurrency 8. Creating and Debugging Application in Functional Approach

Synchronizing the threads using mutex


As of now, we have successfully executed a multithreading code. However, a problem will occur if we consume a shared object and manipulate it inside the thread. It is called synchronization. In this section, we will try to avoid this problem by applying a mutex technique.

Avoiding synchronization issues

As we discussed earlier, in this section, we have to ensure that the shared object we run in the thread gives the correct value when it is executing. Let's suppose we have a global variable named counter and we plan to increase its value in all the five threads we have. Each thread will execute 10000 times increment iteration, so we expect to get 50000 as a result for all five threads. The code is as follows:

    /* notsync.cpp */
    #include <thread>
    #include <iostream>

    using namespace std;

    auto main() -> int
    {
      cout << "[notsync.cpp]" << endl;

      int counter = 0;

      thread threads[5];

      for...
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