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Julia High Performance

Julia High Performance

By : Avik Sengupta
4 (4)
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Julia High Performance

Julia High Performance

4 (4)
By: Avik Sengupta

Overview of this book

Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia. You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia’s design makes them fast. The last chapter will give you a taste of Julia’s distributed computing capabilities.
Table of Contents (13 chapters)
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Chapter 4. Functions and Macros – Structuring Julia Code for High Performance

In Julia, the function is the primary unit of a 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 function calls very fast. 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:

  • Using globals
  • Inlining
  • Closures and anonymous functions
  • Using macros for performance
  • Using generated functions
  • Using named parameters
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Julia High Performance
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