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)
15
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16
Index

Concurrency

After covering lazy evaluation and proxy objects in the last chapter, we will now explore how to write concurrent programs in C++ using threads with shared memory. We will look at ways to make concurrent programs correct by writing programs that are free from data races and deadlocks. This chapter will also contain advice on how to make concurrent programs run with low latency and high throughput.

Before we go any further, you should know that this chapter is not a complete introduction to concurrent programming, nor will it cover all the details of concurrency in C++. Instead, this chapter is an introduction to the core building blocks of writing concurrent programs in C++, mixed with some performance-related guidelines. If you haven't written concurrent programs before, it is wise to go through some introductory material to cover the theoretical aspects of concurrent programming. Concepts such as deadlocks, critical sections, condition variables, and mutexes...