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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.
What you will learn
Discover the secrets behind Julia’s speed
Get a sense of the possibilities and limitations of Julia’s performance
Analyze the performance of Julia programs
Measure the time and memory taken by Julia programs
Create fast machine code using Julia’s type information
Define and call functions without compromising Julia’s performance
Understand number types in Julia
Use Julia arrays to write high performance code
Get an overview of Julia’s distributed computing capabilities