<h2 id="heading-overview">Overview</h2>
<p>Printing in order is another requirement in lots of programming tasks. If we look at this article from the perspective of what is called <strong>Concurrency</strong> in programming, Printing in order is a good example of concurrency implementation.</p>
<h2 id="heading-thought-process">Thought Process</h2>
<p>This code is executed using the concurrency functionality of the C++ programming language. Concurrency refers to the idea of executing several tasks at the same time. This can be achieved in a time-shared manner on a single CPU core (implying 'Multitasking') or in parallel in the case of multiple CPU Cores (Parallel Processing).</p>
<p>Since the requirement is to hold a task while the other thread is running, using the <strong>promise</strong> functionality in C++, multithreading can be implemented to hold a thread while the other thread is running.</p>
<pre><code> thread1.get_future().wait()
</code></pre><h2 id="heading-conclusion">Conclusion</h2>
<p>In this task, the concept of concurrency and multithreading was implemented in C++. This finds great application in state machine implementation and also parallel programming. It makes use of the opportunity of having multiple cores on modern-day computers.</p>


## Overview

Printing in order is another requirement in lots of programming tasks. If we look at this article from the perspective of what is called **Concurrency** in programming, Printing in order is a good example of concurrency implementation.

## Thought Process 

This code is executed using the concurrency functionality of the C++ programming language. Concurrency refers to the idea of executing several tasks at the same time. This can be achieved in a time-shared manner on a single CPU core (implying 'Multitasking') or in parallel in the case of multiple CPU Cores (Parallel Processing).

Since the requirement is to hold a task while the other thread is running, using the **promise** functionality in C++, multithreading can be implemented to hold a thread while the other thread is running.


```
 thread1.get_future().wait()
``` 


## Conclusion

In this task, the concept of concurrency and multithreading was implemented in C++. This finds great application in state machine implementation and also parallel programming. It makes use of the opportunity of having multiple cores on modern-day computers.


Print in Order in C++

Overview

Thought Process

Conclusion