Book Image

Modern C++ Programming Cookbook - Second Edition

By : Marius Bancila
5 (1)
Book Image

Modern C++ Programming Cookbook - Second Edition

5 (1)
By: Marius Bancila

Overview of this book

C++ has come a long way to be one of the most widely used general-purpose languages that is fast, efficient, and high-performance at its core. The updated second edition of Modern C++ Programming Cookbook addresses the latest features of C++20, such as modules, concepts, coroutines, and the many additions to the standard library, including ranges and text formatting. The book is organized in the form of practical recipes covering a wide range of problems faced by modern developers. The book also delves into the details of all the core concepts in 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. It goes into the performance aspects of programming in depth, teaching developers how to write fast and lean code with the help of best practices. Furthermore, the book explores useful patterns and delves into the implementation of many idioms, including pimpl, named parameter, and attorney-client, teaching techniques such as avoiding repetition with the factory pattern. There is also a chapter dedicated to unit testing, where you are introduced to three of the most widely used libraries for C++: Boost.Test, Google Test, and Catch2. By the end of the book, you will be able to effectively leverage the features and techniques of C++11/14/17/20 programming to enhance the performance, scalability, and efficiency of your applications.
Table of Contents (16 chapters)
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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 to a range, and a function to apply to all the elements:
    template <typename Iter...