Book Image

Julia 1.0 High Performance - Second Edition

By : Avik Sengupta
Book Image

Julia 1.0 High Performance - Second Edition

By: Avik Sengupta

Overview of this book

Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster. By the end of this book, you will have the ability to build large-scale, high-performance Julia applications, design systems with a focus on speed, and improve the performance of existing programs.
Table of Contents (19 chapters)
Title Page
Dedication
Foreword
Licences

Making Fast Function Calls

In Julia, the function is the primary unit of code structure. Idiomatic Julia code consists of many small functions that are defined with different types of arguments. In general, the overhead of a function call in Julia is very small, and, with type specialization, the compiled version of the function is very efficient. In this chapter, we will look at some of the techniques that Julia uses to make very fast function calls. We will also look at some limitations that are worth keeping in mind for the fastest code. Finally, we will look at some situations where moving code out of functions and into other structures, such as macros and staged functions, allows code to be faster and more efficient.

The following topics are covered in this chapter:

  • Using globals
  • Inlining
  • Closures and anonymous functions
  • Using macros for performance
  • Using generated functions...