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

Summary


In this chapter, we saw how our sequential algorithms can easily gain performance by running in parallel. This parallelism can be obtained in multiple ways, and in this chapter, we learned about multithreading. We saw how multithreading is really safe in Rust, and how we can take advantage of the crate ecosystem to improve our performance even more.

We learned about some performance enhancements we can develop for our multithreaded code, and how to use all the available tools to our advantage. You can now develop a high-performance concurrent application in Rust using multiple threads.

In the next chapter, we will look at asynchronous programming. The primitives we will look at enable us to write concurrent programs that won't lock our threads if we are waiting for some computation, without even requiring us to spawn new threads!