This chapter provided a very cursory glimpse into the parallel computing facilities built into the Julia language. While we didn't cover much in detail in this chapter, you have hopefully noted how easy it is to get started with distributed computation in Julia. With a little bit of help from the online documentation, it should be easy to create high performing distributed codebases in Julia.
Julia High Performance
By :
Julia High Performance
By:
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 (14 chapters)
Julia High Performance
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Julia is Fast
Analyzing Julia Performance
Types in Julia
Functions and Macros – Structuring Julia Code for High Performance
Fast Numbers
Fast Arrays
Beyond the Single Processor
Index
Customer Reviews