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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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Parallelism in Julia


Julia is currently a single-threaded language (although it does perform asynchronous I/O). This means that the Julia code that you write will run sequentially on a single core of the machine. There are a few significant exceptions; Julia has asynchronous I/O that can offload network or file access to a separate operating system thread, and some libraries embedded within Julia, such as OpenBLAS, spawn and manage multiple threads for their computations. Notwithstanding these exceptions, most user-written Julia code is limited to a single core.

Julia, however, contains an easy-to-use multiprocessor mechanism. You can start multiple Julia processes either on a single host or across a network, and you can control, communicate, and execute programs across the entire cluster.

Starting a cluster

The communication between Julia processes is one-sided in the sense of there being a master process that accepts the user's inputs and controls all the other processes. Starting a cluster...

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Julia High Performance
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