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Asynchronous Programming with C++

Asynchronous Programming with C++

By : Javier Reguera-Salgado, Juan Antonio Rufes
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Asynchronous Programming with C++

Asynchronous Programming with C++

5 (1)
By: Javier Reguera-Salgado, Juan Antonio Rufes

Overview of this book

As hardware advancements continue to accelerate, bringing greater memory capacity and more CPU cores, software must evolve to adapt to efficiently use all available resources and reduce idle CPU cycles. In this book, two seasoned software engineers with about five decades of combined experience will teach you how to implement concurrent and asynchronous solutions in C++. You’ll gain a comprehensive understanding of parallel programming paradigms—covering concurrent, asynchronous, parallel, multithreading, reactive, and event-driven programming, as well as dataflows—and see how threads, processes, and services are related. Moving into the heart of concurrency, the authors will guide you in creating and managing threads and exploring C++’s thread-safety mechanisms, including mutual exclusion, atomic operations, semaphores, condition variables, latches, and barriers. With this solid foundation, you’ll focus on pure asynchronous programming, discovering futures, promises, the async function, and coroutines. The book takes you step by step through using Boost.Asio and Boost.Cobalt to develop network and low-level I/O solutions, proven performance and optimization techniques, and testing and debugging asynchronous software. By the end of this C++ book, you’ll be able to implement high-performance software using modern asynchronous C++ techniques.
Table of Contents (21 chapters)
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1
Part 1:Foundations of Parallel Programming and Process Management
4
Part 2: Advanced Thread Management and Synchronization Techniques
8
Part 3: Asynchronous Programming with Promises, Futures, and Coroutines
12
Part 4: Advanced Asynchronous Programming with Boost Libraries
15
Part 5: Debugging, Testing, and Performance Optimization in Asynchronous Programming

False sharing

In this section, we’ll study a common issue with multithreaded applications called false sharing.

We already know that the ideal implementation of a multithreaded application is minimizing the data that’s shared among its different threads. Ideally, we should share data just for read access because in that case, we don’t need to synchronize the threads to access the shared data and thus we don’t need to pay the runtime cost and deal with issues such as deadlock and livelock.

Now, let’s consider a simple example: four threads run in parallel, generate random numbers, and calculate their sum. Each thread works independently, generating random numbers and calculating the sum stored in a variable just written by itself. This is the ideal (though for this example, a bit contrived) application, with threads working independently without any shared data.

The following code is the full source for the example we’re going to analyze...

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Asynchronous Programming with C++
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