Book Image

C++ High Performance - Second Edition

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

C++ High Performance - Second Edition

5 (2)
By: Björn Andrist, Viktor 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)
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In this chapter, you've seen how to use C++ coroutines for writing asynchronous tasks. To be able to implement the infrastructure in the form of a Task type and a sync_wait() function, you needed to fully understand the concept of awaitable types and how they can be used to customize the behavior of coroutines in C++.

By using Boost.Asio, we could build a truly minimal but fully functional concurrent server application executing on a single thread while handling multiple client sessions.

Lastly, I briefly introduced a methodology called structured concurrency and gave some directions for where you can find more information about this topic.

In the next chapter, we will move on to explore parallel algorithms, which are a way to speed up concurrent programs by utilizing multiple cores.