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
Dedication
Packt Upsell
Contributors
Preface
Index

Continuous integration for benchmarks


Once we know how to benchmark (and I will use the nightly way from now on), we can set up our continuous integration environment so that we can get alerts when a performance regression occurs. There are multiple ways of achieving something like this, but I will be using the Travis-CI infrastructure, some Bash, and a Rust library to do it.

Travis-CI integration

Let's first start by thanking the great work of Lloyd Chan and Sunjay Varma, who were the first to suggest this approach. You can find the code we will be using in Sunjay's blog (http://sunjay.ca/2017/04/27/rust-benchmark-comparison-travis). Nevertheless, it makes sense to check it, understand it, and see how it works.

The idea is simple: on Travis-CI builds, you can build against multiple Rust channels. When a pull request is received when building against the nightly channel, let's run all the benchmarks and then compare them to benchmarks we will run on the pull request target branch. Finally,...