Book Image

Modern C++ Programming Cookbook - Second Edition

By : Marius Bancila
Book Image

Modern C++ Programming Cookbook - Second Edition

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)
13
Bibliography
14
Other Books You May Enjoy
15
Index

Implementing parallel map and fold with standard parallel algorithms

In the previous two recipes, we implemented parallel versions of the map and fold functions (which are called std::transform() and std::accumulate() in the standard library) using threads and tasks. However, these implementations required manual handling of parallelization details, such as splitting data into chunks to be processed in parallel and creating threads or tasks, synchronizing their execution, and merging the results.

In C++17, many of the standard generic algorithms have been parallelized. In fact, the same algorithm can execute sequentially or in parallel, depending on a provided execution policy. In this recipe, we will learn how to implement map and fold in parallel with standard algorithms.

Getting ready

Before you continue with this recipe, it is recommended that you read the previous two to make sure you understand the differences between various parallel implementations.

How to...