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  • Book Overview & Buying Concurrency with Modern C++
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Concurrency with Modern C++

Concurrency with Modern C++

By : Rainer Grimm
Buy this Book
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Concurrency with Modern C++

Concurrency with Modern C++

By: Rainer Grimm
Buy this Book

Overview of this book

C++11 is the first C++ standard that deals with concurrency. The story goes on with C++17 and will continue with C++20/23. Concurrency with Modern C++ is a practical guide that gets you to grips with concurrent programming in Modern C++. Starting with the C++ memory model and using many ready-to-run code examples, the book covers everything you need to improve your C++ multithreading skills. You'll gain insight into different design patterns. You'll also uncover the general consideration you have to keep in mind while designing a concurrent data structure. The final chapter in the book talks extensively about the common pitfalls of concurrent programming and ways to overcome these hurdles. By the end of the book, you'll have the skills to build your own concurrent programs and enhance your knowledge base.
Table of Contents (19 chapters)
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Lock Free Chapter
1
Reader Testimonials
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Reader Testimonials
2
Introduction
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Introduction
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Conventions
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Source Code
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How you should read the book?
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Personal Notes
3
Concurrency with Modern C++
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Concurrency with Modern C++
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C++11 and C++14: The Foundation
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C++17: Parallel Algorithms of the Standard Template Library
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The Near Future: C++20
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Case Studies
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The Future: C++23
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Patterns and Best Practices
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Challenges
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Time Library
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CppMem
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Glossary
4
Memory Model
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Memory Model
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Basics of the Memory Model
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The Contract
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Atomics
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The Class Template std::atomic_ref (C++20)
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The Synchronisation and Ordering Constraints
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Fences
5
Multithreading
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Multithreading
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Threads
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Shared Data
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Thread-Local Data
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Condition Variables
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Tasks
6
Parallel Algorithms of the Standard Template Library
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Parallel Algorithms of the Standard Template Library
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Execution Policies
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Algorithms
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The New Algorithms
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Performance
7
The Near Future: C++20
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The Near Future: C++20
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A Cooperatively Interruptible Joining Thread
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Atomic Smart Pointers
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Latches and Barriers
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Semaphores
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Coroutines
8
Case Studies
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Case Studies
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Calculating the Sum of a Vector
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Thread-Safe Initialisation of a Singleton
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Ongoing Optimisation with CppMem
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Conclusion
9
The Future: C++23
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The Future: C++23
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Executors
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Extended Futures
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Transactional Memory
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Task Blocks
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Data-Parallel Vector Library
10
Patterns and Best Practices
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Patterns and Best Practices
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History
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Invaluable Value
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Pattern versus Best Practices
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Anti-Pattern
11
Synchronisation Patterns
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Synchronisation Patterns
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Dealing with Sharing
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Dealing with Mutation
12
Concurrent Architecture
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Concurrent Architecture
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Active Object
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Monitor Object
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Half-Sync/Half-Async
13
Best Practices
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Best Practices
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General
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Multithreading
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Memory Model
14
Lock-Based Data Structures
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Lock-Based Data Structures
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General Considerations
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Concurrent Stack
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Concurrent Queue
15
Challenges
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Challenges
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ABA Problem
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Blocking Issues
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Breaking of Program Invariants
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Data Races
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Deadlocks
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False Sharing
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Lifetime Issues of Variables
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Moving Threads
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Race Conditions
16
The Time Library
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The Time Library
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The Interplay of Time Point, Time Duration, and Clock
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Time Point
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Time Duration
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Clocks
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Sleep and Wait
17
CppMem - An Overview
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CppMem - An Overview
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The simplified Overview
18
Glossary
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Glossary
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ACID
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CAS
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Callable Unit
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Complexity
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Concurrency
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Critical Section
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Eager Evaluation
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Executor
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Function Objects
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Lambda Functions
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Lazy evaluation
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Lock-free
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Lost Wakeup
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Math Laws
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Memory Location
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Memory Model
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Modification Order
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Monad
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Non-blocking
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Parallelism
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Predicate
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Pattern
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RAII
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Release Sequence
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Sequential Consistency
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Sequence Point
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Spurious Wakeup
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Thread
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Total order
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TriviallyCopyable
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volatile
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wait-free
19
Index
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Index

Lock-Based Data Structures

When threads share a data structure, and the data structure is mutable, you have to protect the data structure from concurrent access. Conceptually, protection can be done from outside or from inside. From outside means that it is in the responsibility of the caller (application) to protect the data. This outside perspective is the perspective, I mainly used in this book until now. Form inside means that the data structure is responsible for protecting itself. A data structure that protects itself so that no data race can appear is called thread-safe. This inside perspective is the perspective, I write about in this and in the next chapter.

I want to emphasise explicitly, I could never have written a book about concurrency without the help of previous authors. This statement holds, in particular, true for the chapters about concurrent data structures. My book is, therefore, heavily influenced by the book The Art of Multiprocessing Programmming by Maurice...

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Concurrency with Modern C++
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