Book Image

The Complete Rust Programming Reference Guide

By : Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Book Image

The Complete Rust Programming Reference Guide

By: Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger

Overview of this book

Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: • Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta • Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Table of Contents (29 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Chapter 8. Concurrency

Modern day software is rarely written to perform tasks sequentially. It is more important today to be able to write programs that do more than one thing at a time and do it correctly. As transistors keep getting smaller, computer architects are unable to scale CPU clocks frequency due to quantum effects in the transistors. This has shifted focus more towards building concurrent CPU architectures that employ multiple cores. With this shift, developers need to write highly concurrent applications to maintain performance gains that they had for free when Moore's law was in effect.

But writing concurrent code is hard and languages that don't provide better abstractions make the situation worse. Rust attempts to make things better and safer in this space. In this chapter, we will go through the concepts and primitives that enable Rust to provide fearless concurrency to developers, allowing them to easily express their programs in a way that can safely do more than one thing...