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Concurrency with Modern C++

You're reading from   Concurrency with Modern C++ What every professional C++ programmer should know about concurrency.

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Product type Paperback
Published in Dec 2019
Publisher
ISBN-13 9781839211027
Length 543 pages
Edition 1st Edition
Languages
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Author (1):
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Rainer Grimm Rainer Grimm
Author Profile Icon Rainer Grimm
Rainer Grimm
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Toc

Table of Contents (19) Chapters Close

1. Reader Testimonials FREE CHAPTER
2. Introduction 3. Concurrency with Modern C++ 4. Memory Model 5. Multithreading 6. Parallel Algorithms of the Standard Template Library 7. The Near Future: C++20 8. Case Studies 9. The Future: C++23 10. Patterns and Best Practices 11. Synchronisation Patterns 12. Concurrent Architecture 13. Best Practices 14. Lock-Based Data Structures 15. Challenges 16. The Time Library 17. CppMem - An Overview 18. Glossary 19. Index

Calculating the Sum of a Vector

What is the fastest way to add the elements of a std::vector? To get the answer, I fill a std::vector with one hundred million arbitrary but uniformly distributed numbers between 1 and 10. The task is to calculate the sum of the numbers in various ways. I use the performance of a single threaded addition as the reference execution time. I discuss atomics, locks, thread-local data and tasks.

Let’s start with the single threaded scenario.

Single Threaded addition of a Vector

The straightforward strategy is it to add the numbers in a range-based for loop.

Range-based for Loop

The summation takes place in line 27.

Summation of a vector in a range-based for loop
 1 // calculateWithLoop.cpp
 2 
 3 #include <chrono>
 4 #include <iostream>
 5 #include <random>
 6 #include <vector>
 7 
 8 constexpr long long size = 100000000;
 9 
10 int main(){
11 
12   std::cout << std::endl;
13 
14   std::vector<int> randValues...
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