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

Chapter 4. Sync and Send – the Foundation of Rust Concurrency

Rust aims to be a programming language in which fearless concurrency is possible. What does this mean? How does it work? In Chapter 2, Sequential Rust Performance Testing, we discussed the performance of sequential Rust programs, intentionally setting aside discussion of concurrent programs. In Chapter 3, The Rust Memory Model – Ownership, References and Manipulation, we saw an overview of the way Rust handles memory, especially with regard to composing high-performance structures. In this chapter, we'll expand on what we've learned previously and, at long last, dig in to Rust's concurrency story.

By the end of this chapter, we will have:

  • Discussed the Sync and Send traits
  • Inspected parallel races in a ring data structure with Helgrind
  • Resolved this race with a mutex
  • Investigated the use of the standard library MPSC
  • Built a non-trivial data multiplexing project