Book Image

C++ High Performance - Second Edition

By : Björn Andrist, Sehr
5 (2)
Book Image

C++ High Performance - Second Edition

5 (2)
By: Björn Andrist, Sehr

Overview of this book

C++ High Performance, Second Edition guides you through optimizing the performance of your C++ apps. This allows them to run faster and consume fewer resources on the device they're running on without compromising the readability of your codebase. The book begins by introducing the C++ language and some of its modern concepts in brief. Once you are familiar with the fundamentals, you will be ready to measure, identify, and eradicate bottlenecks in your C++ codebase. By following this process, you will gradually improve your style of writing code. The book then explores data structure optimization, memory management, and how it can be used efficiently concerning CPU caches. After laying the foundation, the book trains you to leverage algorithms, ranges, and containers from the standard library to achieve faster execution, write readable code, and use customized iterators. It provides hands-on examples of C++ metaprogramming, coroutines, reflection to reduce boilerplate code, proxy objects to perform optimizations under the hood, concurrent programming, and lock-free data structures. The book concludes with an overview of parallel algorithms. By the end of this book, you will have the ability to use every tool as needed to boost the efficiency of your C++ projects.
Table of Contents (17 chapters)
15
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16
Index

Concurrent programming in C++

The concurrency support in C++ makes it possible for a program to execute multiple tasks concurrently. As mentioned earlier, writing a correct concurrent C++ program is, in general, a lot harder than writing a program that executes all tasks sequentially in one thread. This section will also demonstrate some common pitfalls to make you aware of all the difficulties involved in writing concurrent programs.

Concurrency support was first introduced in C++11 and has since been extended into C++14, C++17, and C++20. Before concurrency was part of the language, it was implemented with native concurrency support from the operating system, POSIX Threads (pthreads), or some other library.

With concurrency support directly in the C++ language, we can write cross-platform concurrent programs, which is great! Sometimes, however, you have to reach for platform-specific functionality when dealing with concurrency on your platform. For example, there is no...