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    Julia High performance

    Posted By: ksveta6
    Julia High performance

    Julia High performance by Avik Sengupta
    2016 | ISBN: 1785880918 | English | 132 pages | PDF | 16 MB

    Key Features

    Learn to code high reliability and high performance programs
    Stand out from the crowd by developing code that runs faster than your peers' codes
    This book is intended for developers who are interested in high performance technical programming.
    Book Description

    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
    About the Author

    Avik Sengupta has worked on risk and trading systems in investment banking for many years, mostly using Java interspersed with snippets of the exotic R and K languages. This experience left him wondering whether there were better things out there. Avik's quest came to a happy conclusion with the appearance of Julia in 2012. He has been happily coding in Julia and contributing to it ever since.

    Table of Contents

    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