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Requirements Familiarity with Advanced Modern C++ features such as lambda expressions and move semantics Access to C++11 compiler (C++14 preferred.) Parallel algorithms require C++17 Intended for students who have taken my courses "Learn Advanced Modern C++" or "Update to Modern C++" Proficiency in English (B2 level, preferably C1) Description Multithreading is used in many areas of computing, including graphics processing, machine learning and Internet stores. An understanding of threads is essential to make full use of the capabilities of modern hardware. C++ now provides direct support for threads, making it possible to write portable multithreaded programs which have well-defined behavior, without requiring any external libraries. This course thoroughly covers the basics of threading and will prepare you for more advanced work with threads. Source code is provided for all the examples. No previous knowledge of threading is required, but you should be comfortable with programming in C++ at an intermediate level, using "Modern" features such as smart pointers and move semantics. We start with the concepts of multithreading and learn how to launch threads in C++. We look at the problems which can occur with multiple threads and how to avoid them. C++ provides tools which allow us to work at a higher level of abstraction than system threads which share data; we cover condition variables and promises with futures. We will also look at asynchronous, lock-free and parallel programming, including atomic variables and the parallel algorithms in C++17. We will finish the course by implementing a concurrent queue and thread pool, which will bring together the material you have learnt