Modern C++ Concurrency: Get the most out of any machine

Single Threaded Summation: Ranged Based for Loops

Explore how to calculate the sum of a vector using single threaded range based for loops in C++. Learn why explicit loops can often be replaced by standard STL algorithms for cleaner and more efficient code in this case study on vector summation.

We'll cover the following...

1.Introduction

2.A Quick Overview

3.Memory Model: The Contract

4.Memory Model: Atomics

5.Memory Model: Synchronization and Ordering Constraints

6.Memory Model: Fences

7.Multithreading: Threads

8.Multithreading: Shared Data

9.Multithreading: Local Data

10.Multithreading: Condition Variables

11.Multithreading: Tasks

12.Case Study: Calculate Sum of a Vector

13.Case Study: Thread-Safe Initialization of a Singleton

14.Case Study: Ongoing Optimization with CppMem

15.Parallel Algorithms of the Standard Template Library

16.The Future: C++20

17.Coding Examples

18.Best Practices

19.The Time Library

20.Glossary

21.About the Author

Single Threaded Summation: Ranged Based for Loops