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Expert C++

Expert C++

By : Vardan Grigoryan, Shunguang Wu
3.1 (9)
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Expert C++

Expert C++

3.1 (9)
By: Vardan Grigoryan, Shunguang Wu

Overview of this book

C++ has evolved over the years and the latest release – C++20 – is now available. Since C++11, C++ has been constantly enhancing the language feature set. With the new version, you’ll explore an array of features such as concepts, modules, ranges, and coroutines. This book will be your guide to learning the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20, while also helping you apply these when building modern and resilient software. You’ll start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming. The book will delve into object-oriented programming principles and the C++ Standard Template Library, and even show you how to create custom templates. After this, you’ll learn about different approaches such as test-driven development (TDD), behavior-driven development (BDD), and domain-driven design (DDD), before taking a look at the coding best practices and design patterns essential for building professional-grade applications. Toward the end of the book, you will gain useful insights into the recent C++ advancements in AI and machine learning. By the end of this C++ programming book, you’ll have gained expertise in real-world application development, including the process of designing complex software.
Table of Contents (22 chapters)
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1
Section 1: Under the Hood of C++ Programming
7
Section 2: Designing Robust and Efficient Applications
17
Section 3: C++ in the AI World

Managing threads and sharing data

As discussed previously, the execution of 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, the creation of a thread also has its 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 some container to be used later. The 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...

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Tech Concepts
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Programming languages
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Expert C++
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