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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Parallel standard library algorithms

As of C++17, the standard library has been extended with parallel versions of most, but not all, algorithms. Changing your algorithms to allow for parallel execution is simply a matter of adding a parameter that tells the algorithm which parallel execution policy to use.

As stressed earlier in this book, if your code base is based upon standard library algorithms, or at least if you have the habit of writing C++ by using algorithms, you will get an instant performance boost almost for free by adding an execution policy where suitable:

auto v = std::vector<std::string>{ 
  "woody", "steely", "loopy", "upside_down" 
// Parallel sort
std::sort(std::execution::par, v.begin(), v.end());

Once you specify an execution policy, you are in the realm of parallel algorithms, which have some notable differences compared to their original sequential versions. Firstly, the minimum iterator category...