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

Further reading

The notes for the chapter are a bit unusual for the book. Rather than call out papers the reader could look to for further research these notes are, overwhelmingly, suggestions of codebases to read. Data parallel iterators are amazing but take a little getting used to.

Nothing helps more than reading existing projects. Me, I figure every thousand lines of source code takes an hour to understand well. Makes for a peaceful afternoon:

  • rayon, available at We discussed this crate quite a bit in the chapter but only skimmed the surface of it. I highly, highly recommend that the motivated reader go through ParallelIterator and work to understand the operators exposed there.
  • xsv, available at Andrew Gallant is responsible for some of the fastest text-focused Rust code right now and xsv is no exception. This crate implements a toolkit for very fast, parallel CSV querying and manipulation. The threadpool crate discussed...