Gain insights into using Modern C++ for embedded programming. Learn about safety-critical systems, optimize performance, manage limited resources, and handle parallel execution effectively.

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Embedded Programming with Modern C++  is highly valuable for each professional programmer.

In the past, embedded and system programming have had their pitfalls, but modern C++ has been designed to be a better language for this type of development, addressing the previous pitfalls/requirements explicitly. What are these requirements? Embedded systems deal with safety-critical systems, meaning they must guarantee high performance combined with limited resources, while also working in parallel.

The scope of this course goes beyond just embedded programming. Developers who write servers, games, or trading systems may especially benefit from this course because they also have to deal with safety-critical systems, high performance, reduced resources, and parallel execution in their jobs.

To get the most out of the course, you only need a basic understanding of C++. Building off this understanding, this course goes over all the essentials of embedded programming with Modern C++.

Let's get started!

Embedded Programming with Modern C++

A function template is defined by placing the keyword `template` in front of the function template followed by type or non-type parameters.
* The keyword `class` or `typename` declares the parameters.
* The name T is usually used for the first parameter.
* The parameter can be used in the body of the function.

Let’s take a look at an example of function templates:


template <typename T>
void xchg(T&x , T&y){
...

template <int N>
int nTimes(int n){
...

# Calling Function Template by Passing Arguments


In the given code snippet, let’s take a look at how can we call the initialized variables with our template. In the example below, look at lines 2, 5, 8, and 11 for better understanding. 

In this lesson, we will learn about function templates and their uses.

Introduction

Safety-Critical Systems

High Performance

Reduced Resources

Several Tasks Simultaneously

Conclusion

Function Templates