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Modern C++ Concurrency: Get the most out of any machine
Explore modern C++ concurrency, from C++11 to C++20, combining theory with practice. Gain insights into parallel algorithms, co-routines, and best practices through interactive examples and real-world scenarios.
4.5
140 Lessons
14h
Updated yesterday
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LEARNING OBJECTIVES
- Apply the C++11/14 memory model to reason about atomic operations and multithreaded behavior
- Implement threads with std::thread and manage lifetime via join, detach, and scoped_thread
- Use mutexes, lock types, and condition variables to synchronize shared data and avoid deadlocks
- Build task-based concurrency using std::async, packaged_task, promises, futures, and shared_future
- Analyze and choose atomic memory orders (seq_cst, acquire-release, relaxed) and fence usage
- Verify concurrent code behaviors and data races using CppMem execution graphs and outcomes
- Use C++17 parallel STL algorithms with execution policies for sequential, parallel, or vectorized runs
Learning Roadmap
2.
A Quick Overview
A Quick Overview
Look at C++ concurrency evolution, covering C++11 to C++20, practical multithreading, and challenges.
3.
Memory Model: The Contract
Memory Model: The Contract
2 Lessons
2 Lessons
Break apart the crucial aspects of the C++ memory model and its challenges.
4.
Memory Model: Atomics
Memory Model: Atomics
9 Lessons
9 Lessons
Grasp the fundamentals of C++ atomic operations, memory models, and thread synchronization techniques.
5.
Memory Model: Synchronization and Ordering Constraints
Memory Model: Synchronization and Ordering Constraints
9 Lessons
9 Lessons
Dig deeper into C++'s memory model for synchronization, ordering constraints, and atomic operations.
6.
Memory Model: Fences
Memory Model: Fences
5 Lessons
5 Lessons
Tackle memory fences to ensure proper synchronization and prevent unintended operation reordering.
7.
Multithreading: Threads
Multithreading: Threads
9 Lessons
9 Lessons
Build on managing threads and synchronization in C++ to ensure safe concurrency.
8.
Multithreading: Shared Data
Multithreading: Shared Data
12 Lessons
12 Lessons
Step through managing shared data with mutexes, locks, and thread-safe initialization in multithreading.
10.
Multithreading: Condition Variables
Multithreading: Condition Variables
2 Lessons
2 Lessons
Go hands-on with condition variables for effective thread synchronization and avoid common issues.
11.
Multithreading: Tasks
Multithreading: Tasks
11 Lessons
11 Lessons
Grasp the fundamentals of utilizing tasks, promises, and futures for efficient multithreaded programming in C++.
12.
Case Study: Calculate Sum of a Vector
Case Study: Calculate Sum of a Vector
15 Lessons
15 Lessons
Explore efficient vector summation methods, including single-threaded and multithreaded approaches with locks, atomics, and tasks.
13.
Case Study: Thread-Safe Initialization of a Singleton
Case Study: Thread-Safe Initialization of a Singleton
9 Lessons
9 Lessons
Follow the process of implementing thread-safe singleton patterns, focusing on Meyers Singleton.
14.
Case Study: Ongoing Optimization with CppMem
Case Study: Ongoing Optimization with CppMem
9 Lessons
9 Lessons
Practice using CppMem for understanding C++ concurrency, memory behavior, and optimizing programs.
15.
Parallel Algorithms of the Standard Template Library
Parallel Algorithms of the Standard Template Library
5 Lessons
5 Lessons
Break down STL's parallel algorithms, execution policies, and functional programming in C++.
16.
The Future: C++20
The Future: C++20
11 Lessons
11 Lessons
Walk through new C++20 features for concurrency, including atomic smart pointers, extended futures, transactional memory, and coroutines.
17.
Coding Examples
Coding Examples
9 Lessons
9 Lessons
Go hands-on with concurrency examples to understand and resolve common issues.
18.
Best Practices
Best Practices
5 Lessons
5 Lessons
Enhance your skills in minimizing data sharing, effective memory models, and thread safety.
19.
The Time Library
The Time Library
7 Lessons
7 Lessons
Take a closer look at time points, durations, clocks, and time management in C++ multithreading.
20.
Glossary
Glossary
2 Lessons
2 Lessons
Focus on understanding key C++ concurrency terms, coding, and execution environments.
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Developed by MAANG Engineers
ABOUT THIS COURSE
"Concurrency with Modern C++" is a journey through the present and upcoming concurrency features in C++.
- C++11 and C++14 have the basic building blocks for creating concurrent and parallel programs.
- With C++17 we have the parallel algorithms from the Standard Template Library (STL). That means that most STL based algorithms can be executed sequentially, parallel, or vectorized.
- The concurrency story in C++ goes on. With C++20 we can hope for extended futures, co-routines, transactions, and more.
In addition to explaining the details of concurrency in modern C++, this course gives you many interactive code examples; therefore, you can combine theory with practice to get the most out of it.
Apart from theory, this course contains a lot of real-world scenarios and use-cases along with pitfalls and how to overcome them using best practices.
ABOUT THE AUTHOR
Rainer Grimm
I’ve worked as a software architect, team lead, and instructor since 1999. I like to write articles on the topics C++, Python, and Haskell in my spare time. I often speak at conferences.
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