Book Image

Rust High Performance

By : Iban Eguia Moraza
Book Image

Rust High Performance

By: Iban Eguia Moraza

Overview of this book

This book teaches you how to optimize the performance of your Rust code so that it is at the same level as languages such as C/C++. You'll understand and fi x common pitfalls, learn how to improve your productivity by using metaprogramming, and speed up your code. You will master the features of the language, which will make you stand out, and use them to greatly improve the efficiency of your algorithms. The book begins with an introduction to help you identify bottlenecks when programming in Rust. We highlight common performance pitfalls, along with strategies to detect and resolve these issues early. We move on to mastering Rust's type system, which will enable us to optimize both performance and safety at compile time. You will learn how to effectively manage memory in Rust, mastering the borrow checker. We move on to measuring performance and you will see how this affects the way you write code. Moving forward, you will perform metaprogramming in Rust to boost the performance of your code and your productivity. Finally, you will learn parallel programming in Rust, which enables efficient and faster execution by using multithreading and asynchronous programming.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Packt Upsell

Chapter 1. Common Performance Pitfalls

If you are reading this book, you are probably concerned about the performance of your Rust code. It's known that Rust can offer performance close to that of C/C++ programs, and in some cases, Rust can even win those benchmarks. The main issue, though, is that it's sometimes hard to get that efficiency, especially if you are coming from C/C++. Some concepts don't apply, and some simple efficient approaches in those languages are notably worse in Rust.

In this book, you will learn how to really take advantage of Rust to make it perform at its best while maintaining all the benefits it brings—safety, zero-cost abstractions, and great concurrency. The book can be read from start to finish, and you will probably learn new concepts in every chapter. You can go directly to the chapter that interests you, though, as each chapter contains all the required information for its completion, so that it can be used as a reference.

In this first part of the book, we will start with an introduction on how to improve the performance of your sequential code. You will learn how to avoid common performance pitfalls and how to fix direct translations from other languages. You will then learn how to get better performance from your code, and finally understand memory management in Rust.

In this chapter, we will be looking into:

  • Configuration of the compilation process with profiles
  • Translation pitfalls—learning how to avoid performance pitfalls with array/slice indexing and master iterators
  • New iterator adaptors, both in the standard library and in external crates, and coding any complex behavior at zero cost
  • How to use the borrow checker to your advantage

Most of the people that start learning Rust, myself included, tend to bring lessons learned in other languages to Rust. This is usually a great thing, as it will enable you to learn the language faster. The main issue with this approach is that some patterns used in other languages can actually be a trade-off in Rust. We will learn about the most common ones and the not-so-common ones, so that anyone trying to get better performance in Rust can learn how to do it.