Please note that this course is currently being updated. All the videos are being re-recorded, and new material will be added. I will try to minimize disruption, but there may be times when it is unavoidable.
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Please note that this course is currently being updated. All the videos are being re-recorded, and new material will be added. I will try to minimize disruption, but there may be times when it is unavoidable.
Please note that this course is currently being updated. All the videos are being re-recorded, and new material will be added. I will try to minimize disruption, but there may be times when it is unavoidable.
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, 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.
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.
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What's inside
Learning objectives
- 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
- 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
Syllabus
Introduction
Lecturer Introduction
Guide to Exercises and Source Code
Review of the Modern C++ Features used in this course
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Syllabus
Initializers, literals, auto and range-for loops.
Lambda expressions.
Move semantics.
Lvalues and rvalues.
Move-only objects, random numbers.
A closer look at the C++ thread class.
How to manage a launched thread.
Launching multiple threads. This is where the "fun" starts!
Example of a data race.
How to overcome a problem with using mutexes directly.
A more fully-featured wrapper class that overcomes a problem with using mutexes directly.
How to wait for a lock on a mutex without blocking indefinitely.
Avoid unnecessary locking when there are many more reading threads than writers.
How to initialize shared data safely. Threadsafe Singleton implementation.
How to create data that is local to a thread.
How to create an atomic variable
How to write a spin lock
Odds and ends to finish off the section.
Introduce the basic concept of parallelism
Introduction to execution policies
How to choose an execution policy, implications for exception handling
A brief look at the new parallel algorithm functions in C++17.
We continue our brief look at the new parallel algorithm functions in C++17.
Hands-on session where we create a basic concurrent queue.
How to really improve the performance of thread-intensive programs.
Hands-on session where we create a basic thread pool.
Good to know
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Activities
Review asynchronous programming concepts
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Refreshing your knowledge of asynchronous programming will provide a solid foundation for understanding how to avoid thread blocking effectively and handle tasks efficiently.
Browse courses on
Asynchronous Programming
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-
Review notes or articles on asynchronous programming concepts.
-
Go through code examples or tutorials that demonstrate asynchronous programming in C++.
Organize and review course materials
Show steps
Regularly organizing and reviewing your course materials will help you stay on top of the content and improve your retention and comprehension.
Show steps
-
Go through your notes, assignments, quizzes, and exams.
-
Identify any gaps in your understanding.
-
Revisit relevant sections of the course material to fill those gaps.
Follow tutorials on advanced multithreading techniques
Show steps
Exploring tutorials on advanced multithreading techniques will broaden your knowledge and expose you to different approaches and best practices.
Browse courses on
Concurrency
Show steps
-
Identify reputable sources or platforms offering tutorials on advanced multithreading concepts.
-
Select tutorials that align with your learning objectives.
-
Follow the tutorials, taking notes and implementing the code examples provided.
Three other activities
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Show all six activities
Practice C++ multithreading exercises
Show steps
Completing each of the downloadable exercises with solutions will help you improve your understanding of multithreading concepts and apply them effectively in C++.
Show steps
-
Review the instructions and exercise description.
-
Attempt to solve the exercise on your own.
-
Check your solution against the provided solutions.
Write a blog post on a multithreading topic
Show steps
Writing a blog post will help you synthesize and reinforce your understanding of multithreading concepts, while also potentially benefiting others who read your post.
Browse courses on
Multithreading
Show steps
-
Choose a specific topic related to multithreading based on the course content.
-
Research and gather information on the topic.
-
Outline and draft your blog post.
-
Revise and edit your post for clarity and accuracy.
Build a multithreaded web server
Show steps
Developing a web server using multithreading techniques will provide a practical application of the concepts covered in the course, allowing you to solidify your understanding.
Browse courses on
Multithreading
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-
Choose a suitable web framework and development environment.
-
Design and implement a multithreaded architecture for handling client requests.
-
Test and debug the web server to ensure it handles multiple requests efficiently.
-
Deploy the web server and monitor its performance.
Review asynchronous programming concepts
Show steps
Refreshing your knowledge of asynchronous programming will provide a solid foundation for understanding how to avoid thread blocking effectively and handle tasks efficiently.
Browse courses on
Asynchronous Programming
Show steps
- Review notes or articles on asynchronous programming concepts.
- Go through code examples or tutorials that demonstrate asynchronous programming in C++.
Organize and review course materials
Show steps
Regularly organizing and reviewing your course materials will help you stay on top of the content and improve your retention and comprehension.
Show steps
- Go through your notes, assignments, quizzes, and exams.
- Identify any gaps in your understanding.
- Revisit relevant sections of the course material to fill those gaps.
Follow tutorials on advanced multithreading techniques
Show steps
Exploring tutorials on advanced multithreading techniques will broaden your knowledge and expose you to different approaches and best practices.
Browse courses on
Concurrency
Show steps
- Identify reputable sources or platforms offering tutorials on advanced multithreading concepts.
- Select tutorials that align with your learning objectives.
- Follow the tutorials, taking notes and implementing the code examples provided.
Practice C++ multithreading exercises
Show steps
Completing each of the downloadable exercises with solutions will help you improve your understanding of multithreading concepts and apply them effectively in C++.
Show steps
- Review the instructions and exercise description.
- Attempt to solve the exercise on your own.
- Check your solution against the provided solutions.
Write a blog post on a multithreading topic
Show steps
Writing a blog post will help you synthesize and reinforce your understanding of multithreading concepts, while also potentially benefiting others who read your post.
Browse courses on
Multithreading
Show steps
- Choose a specific topic related to multithreading based on the course content.
- Research and gather information on the topic.
- Outline and draft your blog post.
- Revise and edit your post for clarity and accuracy.
Build a multithreaded web server
Show steps
Developing a web server using multithreading techniques will provide a practical application of the concepts covered in the course, allowing you to solidify your understanding.
Browse courses on
Multithreading
Show steps
- Choose a suitable web framework and development environment.
- Design and implement a multithreaded architecture for handling client requests.
- Test and debug the web server to ensure it handles multiple requests efficiently.
- Deploy the web server and monitor its performance.
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