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

Summary

In this chapter, you learned how to compare the efficiency of algorithms by using big O notation. You now know that the C++ standard library provides complexity guarantees for algorithms and data structures. All standard library algorithms specify their worst-case or average-case performance guarantees, whereas containers and iterators specify amortized or exact complexity.

You also discovered how to quantify software performance by measuring latency and throughput.

Lastly, you learned how to detect hot spots in your code by using CPU profilers and how to perform microbenchmarkings to improve isolated parts of your program.

In the next chapter, you will find out how to use data structures provided by the C++ standard library efficiently.