INTERACTIVE COURSE

Modern C++ Concurrency: Get the most out of any machine

Advanced

140 Lessons

14h

Certificate of Completion

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Course Overview

"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 (S...

How You'll Learn

Hands-on coding environments

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Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built-in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built-in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

1. Introduction

A Guide to Follow This Course

2. A Quick Overview

C++11 and C++14: The Foundation

Multithreading in C++

Case Studies

C++17: Parallel Algorithms of the Standard Template Library

C++20: The Concurrent Future

Challenging Issues in C++

3. Memory Model: The Contract

The Contract

The Foundation & Challenges

4. Memory Model: Atomics

All Atomic Operations

Free Atomic Functions

Atomic Operations on std::shared_ptr

5. Memory Model: Synchronization and Ordering Constraints

Introduction

Types of Synchronization & Ordering Constraints

Sequential Consistency

Acquire Release Semantic

Is the Acquire-Release Semantic Transitive?

Acquire Release: The Typical Misunderstanding

std::mem_order_consume

Data dependencies with std::memory_order_consume

Relaxed Semantic

6. Memory Model: Fences

Fences as Memory Barriers

The Three Fences

Acquire and Release Fences

Synchronization with Atomic Variables

Synchronization with Fences

7. Multithreading: Threads

Introduction to Threads

Creation of Threads

Managing Thread Lifetime

Thread Lifetime Management: Warnings and Tips

Passing Arguments to Threads

Arguments of Threads: Undefined behavior

Arguments of Threads - Race Conditions and Locks

Methods of Threads

Methods of Threads in Practice

8. Multithreading: Shared Data

Introduction to Shared Data

Introduction to Mutexes

Mutex Types and Locking Methods

Issues of Mutexes: Deadlocks

Issues of Mutexes: Avoiding Exceptions

Types of Locks: std::lock_guard

Types of Locks: std::unique_lock

Types of Locks: std::shared_lock

Thread-Safe Initialization

Thread-Safe Initialization: Constant Expressions

Thread-Safe Initialization: call_once and once_flag

Thread-Safe Initialization - Static Variables with Block Scope

9. Multithreading: Local Data

Thread Local Data

10. Multithreading: Condition Variables

Condition Variables

The Caveats of Condition Variables

11. Multithreading: Tasks

Introduction to Tasks

Threads vs Tasks

Introduction to std::async

async: Start Policy

async: Fire and Forget

async: Concurrent Calculation

Introduction to std::packaged_task

Introduction to Promises and Futures

Promise and Future : Return an Exception

Promise and Future: Return a Notification

Introduction to std::shared_future

12. Case Study: Calculate Sum of a Vector

Introduction

Single Threaded Summation: Ranged Based for Loops

Single Threaded Summation: Addition with std::accumulate

Single Threaded Summation: Protection with Locks

Single Threaded Summation: Protection with Atomics

Multithreaded Summation: Using std::lock_guard

Multithreaded Summation: Using Atomic Variable

Multithreaded Summation: Using fetch_add Method

Multithreaded Summation: Using fetch_add Method with Relaxed Semantic

Thread Local Summation: Using Local Variable

Thread Local Summation: Using an Atomic Variable with Sequential Consistency

Thread Local Summation: Using an Atomic Variable with Relaxed Semantic

Thread Local Summation: Using Thread Local Data

Thread Local Summation: Using Tasks

Calculate Sum of a Vector: Conclusion

13. Case Study: Thread-Safe Initialization of a Singleton

Introduction

Double-Checked Locking Pattern

Performance Measurement

Classical Meyers Singleton

Introduction to Thread-Safe Meyers Singleton

Thread-Safe Singleton: std::lock_guard

Thread-Safe Singleton: std::call_once with std::once_flag

Thread-Safe Singleton: Atomics

Conclusion

14. Case Study: Ongoing Optimization with CppMem

Introduction to CppMem

CppMem: An Overview

CppMem: Non-Atomic Variables

CppMem: Locks

CppMem: Atomics with Sequential Consistency

CppMem: Atomics with an Acquire-Release Semantic

CppMem: Atomics with Non-Atomics

CppMem: Atomics with a Relaxed Semantic

Conclusion

15. Parallel Algorithms of the Standard Template Library

Execution Policies

Parallel & Vectorized Execution

Algorithms

The New Algorithms

New Algorithms - A Functional Perspective

16. The Future: C++20

Atomic Smart Pointers

Thread-Safe Linked List Using Atomic Pointers

Introduction to Extended Futures

Attaching Extended Futures

Creating New Futures

Latches and Barriers

Transactional Memory - An Overview

The Two Flavors of Transactional Memory

Introduction to Coroutines

Coroutines: More Details

Task Blocks

17. Coding Examples

ABA

Blocking Issues

Breaking of Program Invariants

Data Races

False Sharing

Lifetime Issues of Variables

18. Best Practices

Multithreading: Threads

Multithreading: Shared Data

Multithreading: Condition Variables

19. The Time Library

The Interplay of Time Point, Time Duration, and Clock

Time Point

From Time Point to Calendar Time

Time Duration

Time Duration Calculations

Clocks

Sleep and Wait

20. Glossary

Glossary

Running Source Code on your own machine

21. About the Author

Personal Notes

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What our learners are saying

Concurrency with Modern C++’ is your practical guide to getting familiar with concurrent programming in Modern C++. Starting with the C++ Memory Model and using many ready-to-run code examples, the book covers a good deal of what you need to improve your C++ multithreading skills. Next to the enlightening case studies that will bring you up to speed, the overview of upcoming concurrency features might even wet your appetite for more!

Bart Vandewoestyne

Senior Development Engineer Software at Esterline

Rainer Grimm’s Concurrency with Modern C++ is a well written book covering the theory and practice for working with concurrency per the existing C++ standards, as well as addressing the potential changes for the upcoming C++ 20 standard. He provides a conversational discussion of the applications and best practices for concurrency along with example code to reinforce the details of each topic. An informative and worthwhile read!

Ian Reeve

Senior Storage Software Engineer for Dell Inc.

Concurrency with Modern C++ is the easiest way to become an expert in the multithreading environment. This book contains both simple and advanced topics, and it has everything a developer needs, in order to become an expert in this field: Lots of content, a big number of running code examples, along with great explanation, and a whole chapter for pitfalls. I enjoyed reading it, and I highly recommend it for everyone working with C++.

Robert Badea

Technical Team Leader

Bart Vandewoestyne

Senior Development Engineer Software at Esterline

Ian Reeve

Senior Storage Software Engineer for Dell Inc.

Robert Badea

Technical Team Leader

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Rainer Grimm

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