Book Image

Modern C++ Programming Cookbook - Third Edition

By : Marius Bancila
Book Image

Modern C++ Programming Cookbook - Third Edition

By: Marius Bancila

Overview of this book

The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stack library, the expected and mdspan types, span buffers, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync output streams and source_location. The book is organized in the form of practical recipes covering a wide range of real-world problems. It gets into the details of all the core concepts of modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others. You will cover the performance aspects of programming in depth, and learning to write fast and lean code with the help of best practices. You will explore useful patterns and the implementation of many idioms, including pimpl, named parameter, attorney-client, and the factory pattern. A chapter dedicated to unit testing introduces you to three of the most widely used libraries for C++: Boost.Test, Google Test, and Catch2. By the end of this modern C++ programming book, you will be able to effectively leverage the features and techniques of C++11/14/17/20/23 programming to enhance the performance, scalability, and efficiency of your applications.
Table of Contents (15 chapters)
13
Other Books You May Enjoy
14
Index

Implementing parallel map and fold with tasks

Tasks are a higher-level alternative to threads for performing concurrent computations. std::async() enables us to execute functions asynchronously, without the need to handle lower-level threading details. In this recipe, we will take the same task of implementing a parallel version of the map and fold functions, as in the previous recipe, but we will use tasks and see how it compares with the thread version.

Getting ready

The solution presented in this recipe is similar in many aspects to the one that uses threads in the previous recipe, Implementing parallel map and fold with threads. Make sure you read that one before continuing with the current recipe.

How to do it...

To implement a parallel version of the map function, do the following:

  1. Define a function template that takes a begin and end iterator for a range and a function to apply to all the elements:
    template <typename Iter, typename F&gt...