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Mastering C++ Multithreading

By : Maya Posch

3.1 (12)

Buy this Book

Mastering C++ Multithreading

3.1 (12)

By: Maya Posch

Buy this Book

Overview of this book

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++.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Free Chapter

Revisiting Multithreading

Getting started

The multithreaded application

Other applications

Summary

Multithreading Implementation on the Processor and OS

Defining processes and threads

The stack

Defining multithreading

Schedulers

Tracing the demo application

Mutual exclusion implementations

Summary

C++ Multithreading APIs

API overview

POSIX threads

Windows threads

Boost

POCO

C++ threads

Putting it together

Summary

Thread Synchronization and Communication

Safety first

The scheduler

Sharing data

Summary

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

Atomics

Summary

Debugging Multithreaded Code

When to start debugging

The humble debugger

Dynamic analysis tools

Summary

Best Practices

Proper multithreading

Wrongful expectations - deadlocks

Being careless - data races

Mutexes aren't magic

Locks are fancy mutexes

Threads versus the future

Static order of initialization

Summary

Atomic Operations - Working with the Hardware

Atomic operations

Summary

Multithreading with Distributed Computing

Distributed computing, in a nutshell

Installing Open MPI

Distributing jobs across nodes

MPI communication

MPI versus threads

Potential issues

Summary

Multithreading with GPGPU

The GPGPU processing model

Setting up a development environment

A basic OpenCL application

GPU memory management

GPGPU and multithreading

Potential issues

Debugging GPGPU applications

Summary

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Getting started

During the course of this book, we'll be assuming the use of a GCC-based toolchain (GCC or MinGW on Windows). If you wish to use alternative toolchains (clang, MSVC, ICC, and so on), please consult the documentation provided with these for compatible commands.

To compile the examples provided in this book, makefiles will be used. For those unfamiliar with makefiles, they are a simple but powerful text-based format used with the make tool for automating build tasks including compiling source code and adjusting the build environment. First released in 1977, make remains among the most popular build automation tools today.

Familiarity with the command line (Bash or equivalent) is assumed, with MSYS2 (Bash on Windows) recommended for those using Windows.