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Julia High Performance

Julia High Performance

By : Avik Sengupta
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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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Using globals


One of the first performance tips that you come across when learning Julia is the advice not to use global variables. This is usually not a very onerous requirement, as global state is often considered bad programming practice. Further, this limitation is most likely going to be removed in future versions of Julia. However, given how easy it is to fall into this trap and the large amount of performance degradation that can occur, it is important to keep this in mind when writing Julia code.

The trouble with globals

In the previous chapter, we saw how Julia achieves its high performance runtime by compiling specialized versions of functions for particular types of arguments—a process that relies on type inference using data flow techniques. However, global variables can be written to at any time, and by any code. The compiler cannot keep track of all writes to global variables; this would be akin to solving the halting problem. Therefore, the data-flow technique fails to perform...

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