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  • Book Overview & Buying Expert C++
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Expert C++

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Grigoryan, Wu
3.9 (7)
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Expert C++

Expert C++

3.9 (7)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Grigoryan, Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
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1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 3:C++ in the AI World

Managing threads and sharing data

As discussed previously, executing threads involves pausing and resuming some of them if the number of threads exceeds the number of parallel running threads supported by the hardware. Besides that, creating a thread also has an overhead. One of the suggested practices to deal with having many threads in a project is using thread pools.

The idea of a thread pool lies in the concept of caching. We create and keep threads in a container to be used later. This container is called a pool. For example, the following vector represents a simple thread pool:

#include <thread>#include <vector>
std::vector<std::thread> pool;

Whenever we need a new thread, instead of declaring the corresponding std::thread object, we use one already created in the pool. When we are done with the thread, we can push it back to the vector to use it later if necessary. This saves us some time when we’re working with 10 or more threads. A proper...

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Expert C++
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