One of the key skill for all C++ developers is concurrency. As programs continue to get more complex, computers are accompanied with more CPU cores to match. To efficiently design our C++ programs, we must write codes that utilizes multicore machines. This is accomplished through concurrency, a technique that ensures the use of all cores and maximizes a machine's capacities.
To get ourself familiar with concurrent programming and multithreading. We will go through some basic definitions and real world examples we need to know.
- Concurrency
Concurrency was first introduced into C++11, include threads, the memory model, conditional variables,
mutexes and locks. This was dramatically improved in C++17 with the addition of parallel algorithms in STL.
In C++20, new atomic smart pointers such as std::atomic_shared_ptr and std::atomic_weak_ptr are introduced to
deal with data races that induces UB. Another new multithreading features in C++17 or 20 is parallel STL. See
Parallel Algorithms of STL
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How to implement concurrency
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Multithreading
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Parallelism
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Examples of multithreading
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Concurrency in action
The goal of this tutorial is to have ourselves be familiar with concurrency and multithreading in C++