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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

CPU memory cache

Modern CPUs are very fast at computing and when we want to achieve maximum performance, memory access is the main bottleneck. A good estimate for memory access is about 150 nanoseconds. In that time, our 3.6 GHz CPU has gone through 540 clock cycles. As a rough estimate, if the CPU executes an instruction every two cycles, that’s 270 instructions. For a normal application, memory access is an issue, even though the compiler may reorder the instructions it generates and the CPU may also reorder the instructions to optimize memory access and try to run as many instructions as possible.

Therefore, to improve the performance of modern CPUs, we have what’s called a CPU cache or memory cache, which is memory in the chip to store both data and instructions. This memory is much faster than RAM and allows the CPU to retrieve data much faster, significantly boosting overall performance.

As an example of a real-life cache, think about a cook. They need some...

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Asynchronous Programming with C++
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