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Asynchronous Programming in Rust

You're reading from   Asynchronous Programming in Rust Learn asynchronous programming by building working examples of futures, green threads, and runtimes

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805128137
Length 306 pages
Edition 1st Edition
Languages
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Author (1):
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Carl Fredrik Samson Carl Fredrik Samson
Author Profile Icon Carl Fredrik Samson
Carl Fredrik Samson
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1:Asynchronous Programming Fundamentals FREE CHAPTER
2. Chapter 1: Concurrency and Asynchronous Programming: a Detailed Overview 3. Chapter 2: How Programming Languages Model Asynchronous Program Flow 4. Chapter 3: Understanding OS-Backed Event Queues, System Calls, and Cross-Platform Abstractions 5. Part 2:Event Queues and Green Threads
6. Chapter 4: Create Your Own Event Queue 7. Chapter 5: Creating Our Own Fibers 8. Part 3:Futures and async/await in Rust
9. Chapter 6: Futures in Rust 10. Chapter 7: Coroutines and async/await 11. Chapter 8: Runtimes, Wakers, and the Reactor-Executor Pattern 12. Chapter 9: Coroutines, Self-Referential Structs, and Pinning 13. Chapter 10: Creating Your Own Runtime 14. Index 15. Other Books You May Enjoy

Concurrency versus parallelism

Right off the bat, we’ll dive into this subject by defining what concurrency is. Since it is quite easy to confuse concurrent with parallel, we will try to make a clear distinction between the two from the get-go.

Important

Concurrency is about dealing with a lot of things at the same time.

Parallelism is about doing a lot of things at the same time.

We call the concept of progressing multiple tasks at the same time multitasking. There are two ways to multitask. One is by progressing tasks concurrently, but not at the same time. Another is to progress tasks at the exact same time in parallel. Figure 1.1 depicts the difference between the two scenarios:

Figure 1.1 – Multitasking two tasks

Figure 1.1 – Multitasking two tasks

First, we need to agree on some definitions:

  • Resource: This is something we need to be able to progress a task. Our resources are limited. This could be CPU time or memory.
  • Task: This is a set of operations...
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