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Multithreading Implementation on the Processor and OS

The foundation of any multithreaded application is formed by the implementation of the required features by the hardware of the processor, as well as by the way these features are translated into an API for use by applications by the operating system. An understanding of this foundation is crucial for developing an intuitive understanding of how to best implement a multithreaded application.

This chapter looks at how hardware and operating systems have evolved over the years to arrive at the current implementations and APIs as they are in use today. It shows how the example code of the previous chapter ultimately translates into commands to the processor and related hardware.

Topics covered in this chapter include the following:

The evolution of processor hardware in order to support multithreading concepts
How operating systems...

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++.

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

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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DRM FREE - Read whenever, wherever and however you want

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Debasish Aug 14, 2019

Good

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T. Farrier May 12, 2018

Clear and comprehensive treatment.

Ignacio A. Ruiz Reyes Oct 16, 2017

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.

Lou mauget Nov 21, 2017

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.

bk Jan 31, 2018

Good book for multithreading

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

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Mastering C++ Multithreading

Multithreading Implementation on the Processor and OS

Defining processes and threads

The stack

Defining multithreading

Schedulers

Defining processes and threads

The stack

Defining multithreading

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

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