Mastering C++ Multithreading

Master multithreading and concurrent processing with C++

Mastering C++ Multithreading

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Maya Posch

Master multithreading and concurrent processing with C++
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Book Details

ISBN 139781787121706
Paperback244 pages

Book Description

Multithreaded applications execute multiple threads in a single processor environment, allowing developers achieve concurrency. This book will teach you the finer points of multithreading and concurrency concepts and how to apply them efficiently in C++.

Divided into three modules, we start with a brief introduction to the fundamentals of multithreading and concurrency concepts. We then take an in-depth look at how these concepts work at the hardware-level as well as how both operating systems and frameworks use these low-level functions.

In the next module, you will learn about the native multithreading and concurrency support available in C++ since the 2011 revision, synchronization and communication between threads, debugging concurrent C++ applications, and the best programming practices in C++.

In the final module, you will learn about atomic operations before moving on to apply concurrency to distributed and GPGPU-based processing. The comprehensive coverage of essential multithreading concepts means you will be able to efficiently apply multithreading concepts while coding in C++.

Table of Contents

Chapter 1: Revisiting Multithreading
Getting started
The multithreaded application
Other applications
Summary
Chapter 2: Multithreading Implementation on the Processor and OS
Defining processes and threads
The stack
Defining multithreading
Schedulers
Tracing the demo application
Mutual exclusion implementations
Summary
Chapter 3: C++ Multithreading APIs
API overview
POSIX threads
Windows threads
Boost
Qt
POCO
C++ Threads
Putting it together
Summary
Chapter 4: Thread Synchronization and Communication
Safety first
The scheduler
Sharing data
Chapter 5: Native C++ Threads and Primitives
The STL threading API
The 2011 standard
C++14
C++17
STL organization
Thread class
Mutex
Shared mutex
Condition variable
Future
Atomic
Summary
Chapter 6: Debugging Multithreaded Code
When to start debugging
The humble debugger
Dynamic analysis tools
Summary
Chapter 7: Best Practices
Chapter 8: Atomic Operations: Working with the Hardware
Chapter 9: Multithreading with Distributed Computing
Chapter 10: Multithreading with GPGPU

What You Will Learn

  • Deep dive into the details of the how various operating systems currently implement multithreading
  • Choose the best multithreading APIs when designing a new application
  • Explore the use of mutexes, spin-locks, and other synchronization concepts and see how to safely pass data between threads
  • Understand the level of API support provided by various C++ toolchains
  • Resolve common issues in multithreaded code and recognize common pitfalls using tools such as Memcheck, CacheGrind, DRD, Helgrind, and more
  • Discover the nature of atomic operations and understand how they can be useful in optimizing code
  • Implement a multithreaded application in a distributed computing environment
  • Design a C++-based GPGPU application that employs multithreading

Authors

Table of Contents

Chapter 1: Revisiting Multithreading
Getting started
The multithreaded application
Other applications
Summary
Chapter 2: Multithreading Implementation on the Processor and OS
Defining processes and threads
The stack
Defining multithreading
Schedulers
Tracing the demo application
Mutual exclusion implementations
Summary
Chapter 3: C++ Multithreading APIs
API overview
POSIX threads
Windows threads
Boost
Qt
POCO
C++ Threads
Putting it together
Summary
Chapter 4: Thread Synchronization and Communication
Safety first
The scheduler
Sharing data
Chapter 5: Native C++ Threads and Primitives
The STL threading API
The 2011 standard
C++14
C++17
STL organization
Thread class
Mutex
Shared mutex
Condition variable
Future
Atomic
Summary
Chapter 6: Debugging Multithreaded Code
When to start debugging
The humble debugger
Dynamic analysis tools
Summary
Chapter 7: Best Practices
Chapter 8: Atomic Operations: Working with the Hardware
Chapter 9: Multithreading with Distributed Computing
Chapter 10: Multithreading with GPGPU

Book Details

ISBN 139781787121706
Paperback244 pages
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