Book Image

Julia 1.0 High Performance - Second Edition

By : Avik Sengupta
Book Image

Julia 1.0 High Performance - Second Edition

By: Avik Sengupta

Overview of this book

Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster. By the end of this book, you will have the ability to build large-scale, high-performance Julia applications, design systems with a focus on speed, and improve the performance of existing programs.
Table of Contents (19 chapters)
Title Page
Dedication
Foreword
Licences

About the reviewers

Lyndon White is a research engineer at Invenia Labs, living in Broadway Nedlands, Australia. His key research areas include natural language processing and computational linguistics, with a focus on the capturing of sentence meaning. More broadly, his interests include machine learning, data mining, pattern recognition, and artificial intelligence. His overarching goal is to develop methods to allow for better computational processing of vast amounts of data intended for manual (human) processing via media such as books, blogs, and newspapers. He gained a bachelor's degree in engineering (electrical and electronic) and a bachelor's degree in computer and mathematical science from the University of Western Australia in 2014, where he continued his PhD studies.

Zhuo Qingliang (also known as KDr2 online) is presently working at paodingai.com, a start-up FinTech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years of experience in Linux, C, C++, Python, Perl, and Java development. He is interested in programming, doing consulting work, and participating in and contributing to the open source community (including the Julia community, of course).