Book Image

Hands-On Concurrency with Rust

By : Brian L. Troutwine
Book Image

Hands-On Concurrency with Rust

By: Brian L. Troutwine

Overview of this book

Most programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more. The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yourself. You will master radically different approaches that exist in the ecosystem for structuring and managing high-scale systems. By the end of the book, you will feel comfortable with designing safe, consistent, parallel, and high-performance applications in Rust.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Packt Upsell

Near-term improvements

The focus of 2018's Rust development has been stabilization. Since the 1.0 days in 2015, many important crates were nightly-only, whether because of modifications to the compiler or because of the fear of standardizing too quickly on awkward APIs. This fear was reasonable. At the time, Rust was a new language and it changedverydrastically in the lead-up to 1.0. A new language takes time to resolve into its natural style. By the end of 2017, the community had come to a general feeling that a stabilization cycle was in order, that some natural expression of the language had more or less been established, and that in areas where this was not true, it could be established, with some work.

Let's discuss this stabilization work with regards to the topics we've followed throughout the book.


In this book, we discussed thread-based concurrency. In Chapter 8, High-Level Parallelism – Threadpools, Parallel Iterators, and Processes, we took to a higher level of abstraction with...