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Mastering C++ Multithreading
Mastering C++ Multithreading

Mastering C++ Multithreading: Write robust, concurrent, and parallel applications

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Mastering C++ Multithreading

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Key benefits

  • Delve into the fundamentals of multithreading and concurrency and find out how to implement them
  • Explore atomic operations to optimize code performance
  • Apply concurrency to both distributed computing and GPGPU processing

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++.

Who is this book for?

This book is for intermediate C++ developers who wish to extend their knowledge of multithreading and concurrent processing. You should have basic experience with multithreading and be comfortable using C++ development toolchains on the command line.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 28, 2017
Length: 244 pages
Edition : 1st
Language : English
ISBN-13 : 9781787121898
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What do you get with eBook?

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Product Details

Publication date : Jul 28, 2017
Length: 244 pages
Edition : 1st
Language : English
ISBN-13 : 9781787121898
Category :
Languages :
Concepts :

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Frequently bought together


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Total AU$ 219.97 Stars icon

Table of Contents

10 Chapters
Revisiting Multithreading Chevron down icon Chevron up icon
Multithreading Implementation on the Processor and OS Chevron down icon Chevron up icon
C++ Multithreading APIs Chevron down icon Chevron up icon
Thread Synchronization and Communication Chevron down icon Chevron up icon
Native C++ Threads and Primitives Chevron down icon Chevron up icon
Debugging Multithreaded Code Chevron down icon Chevron up icon
Best Practices Chevron down icon Chevron up icon
Atomic Operations - Working with the Hardware Chevron down icon Chevron up icon
Multithreading with Distributed Computing Chevron down icon Chevron up icon
Multithreading with GPGPU Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.1
(12 Ratings)
5 star 33.3%
4 star 16.7%
3 star 8.3%
2 star 8.3%
1 star 33.3%
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Top Reviews

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Debasish Aug 14, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Good
Amazon Verified review Amazon
T. Farrier May 12, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Clear and comprehensive treatment.
Amazon Verified review Amazon
Ignacio A. Ruiz Reyes Oct 16, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I've been working with multithreaded C programming for 5years now and bought this book to get an idea how it works on C++ and i'm very pleased with my investing decision, since this book allowed me not only reinforce my knowledge on traditional multithreading, also get some very interesting background on history and libraries available, but also "quantum" leap to the power of standardized C++ features!!! explanations are precise, examples are simple yet functional, so you can get the idea just reading the code; if you don't trust or want to see it in action, you can compile and run the examples yourself!Extra mention for chapters 6, 9 and 10, since not many books talk about multithreading in the context of debugging, distributed computing or GPU programming, and mastering this concepts will definitely give you an edge or get you ready for stuff like AI or HPC.
Amazon Verified review Amazon
Lou mauget Nov 21, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is an excellent treatment of a thorny area of coding: processing that shares state, proceeding at odd intervals, or simultaneously. Programmers and architects are accustomed to designing for asynchronous data from a mouse click, a keyboard submission, or a response to a network or DBMS request. Now, picture implementing low-level code to handle a barrage of asynchronous or concurrent activity. All, while keeping the processor utilized and not stomping on anybody's state. At that point it becomes harder for a hapless human to reason about, let alone to implement. Certainly, there are higher-level languages and frameworks for taming some situations, but perhaps we're tasked with creating a part of such a framework! Maybe we're designing or writing such code "down to the metal", trying to implement a problem most-efficiently. C++ has flexibly kept pace with hardware evolution, but with flexibility comes choices that could present new complexity.This book shows the reader how to exploit late-breaking C++ multithreading and concurrent-programming capabilities, It begins with an overview of the hardware it exploits. It progresses through a comprehensive set of subjects that include synchronization, debugging, and best practices. A bonus is a chapter on multithreading with a GPGPU.This book serves both as a tutorial and as a reference for use later. Note that it does not address C++17, because the book slightly predates C++17. Disclosure: I was a technical reviewer of the manuscript.
Amazon Verified review Amazon
bk Jan 31, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Good book for multithreading
Amazon Verified review Amazon
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