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

Inlining

As we've mentioned before, idiomatic Julia code typically consists of many small functions. Unlike most other language implementations, some of the core primitives in the base library are also implemented in Julia. All of this means that the overhead of a function call needs to be as low as possible for performant Julia code. This is partly ensured due to some aggressive inlining performed by the Julia compiler.

Inlining is an optimization performed by a compiler, where the contents of a function or method are inserted directly into the body of the caller of that function. Thus, instead of making a function call, execution continues by directly implementing the operations of the called function/method within the caller's body.

In addition, quite a few compiler optimization techniques only operate within the body of a single function. Inlining allows...