Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • C++ High Performance
  • Toc
  • feedback
C++ High Performance

C++ High Performance

By : Björn Andrist, Sehr
4.4 (24)
close
C++ High Performance

C++ High Performance

4.4 (24)
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)
close
15
Other Books You May Enjoy
16
Index

Analyzing and Measuring Performance

Since this is a book about writing C++ code that runs efficiently, we need to cover some basics regarding how to measure software performance and estimate algorithmic efficiency. Most of the topics in this chapter are not specific to C++ and can be used whenever you are facing a problem where performance is an issue.

You will learn how to estimate algorithmic efficiency using big O notation. This is essential knowledge when choosing algorithms and data structures from the C++ standard library. If you are new to big O notation, this part might take some time to digest. But don't give up! This is a very important topic to grasp in order to understand the rest of the book, and, more importantly, to become a performance-aware programmer. If you want a more formal or more practical introduction to these concepts, there are plenty of books and online resources dedicated to this topic. On the other hand, if you have already mastered big O notation...

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete