Learn Multithreading With Modern C++

Learn how to write portable threaded C++ code which unleashes the power of modern multi-processor hardware!

What you'll learn
How to write portable multi-threaded code in C++
Basic principles of multi-threading which will be applicable in all languages
Understanding of concurrency
Knowledge of C++17 parallel algorithms
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 behaviour, 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.The course begins by reviewing the newer features of C++ which are used in this course. If you want more thorough coverage, you can get this by taking my course "Learn Advanced Modern C++".We then cover 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.There are downloadable exercises for each video, with solutions, so you can check your understanding as you learn, gaining familiarity and confidence with the material. There are also some optional assignments, which are more challenging. I will be actively supporting the course. I will respond promptly if you have any questions or experience difficulties with the course content. Please feel free to use the Q&A feature or alternatively you can send me a private message.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Lecturer Introduction

Lecture 3 Guide to Exercises and Source Code

Section 2: Overview of Modern C++ Features

Lecture 4 Modern C++ Overview Part One

Lecture 5 Modern C++ Overview Part Two

Lecture 6 Modern C++ Overview Part Three

Lecture 7 Modern C++ Overview Part Four

Lecture 8 Modern C++ Overview Part Five

Section 3: Introduction to Concurrency

Lecture 9 Concurrency Introduction

Lecture 10 Concurrency Motivation

Lecture 11 Concurrency Overview

Lecture 12 Concurrent Applications

Lecture 13 A Brief History of C++ Concurrency

Section 4: Getting Started with Threads

Lecture 14 Launching a Thread

Lecture 15 The C++ Thread Class

Lecture 16 Managing a Thread

Lecture 17 Multiple Threads

Lecture 18 Data Races

Section 5: Working with shared data

Lecture 19 Mutex Introduction

Lecture 20 Lock Guard

Lecture 21 Unique Lock

Lecture 22 Timeouts and Mutexes

Lecture 23 Shared Mutexes

Lecture 24 Shared Data Initialization

Lecture 25 Thread-local Data

Lecture 26 Lazy Initialization

Lecture 27 Deadlock

Lecture 28 Livelock

Lecture 29 Mutex Conclusion

Section 6: Thread Synchronization

Lecture 30 Condition Variables

Lecture 31 Condition Variables with Predicate

Lecture 32 Futures

Lecture 33 Promises

Lecture 34 Promises with Multiple Waiting Threads

Section 7: Atomic Types

Lecture 35 Integer Operations and Threads

Lecture 36 Atomic Types

Lecture 37 Atomic Operations

Lecture 38 Lock-free programming

Section 8: Asynchronous Programming

Lecture 39 Asynchronous Programming

Lecture 40 Packaged Task

Lecture 41 The async Function

Lecture 42 Choosing a Thread Object

Section 9: Parallelism

Lecture 43 Parallelism Overview

Lecture 44 Execution Policies

Lecture 45 Algorithms and Execution Policies

Lecture 46 New Parallel Algorithms

Lecture 47 New Parallel Algorithms Continued

Section 10: Practical Data Structures for Concurrent Programming

Lecture 48 Concurrent Data Queue Practical

Lecture 49 Thread Pools

Lecture 50 Thread Pool Implementation Practical

Section 11: Multithreading Resources

Lecture 51 Recommended Book

Lecture 52 Multithreading libraries

Programmers with a good knowledge of C++ but little or no exposure to multithreading