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Key benefits

Learn the characteristics of high-performance Julia code

Use the power of the GPU to write efficient numerical code

Speed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0

Description

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.

What you will learn

Understand how Julia code is transformed into machine code

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

Accelerate your code via the GPU

Use tasks and asynchronous IO for responsive programs

Run Julia programs on large distributed clusters

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Elango Sep 28, 2020

This book provides plenty of examples to demonstrate how good performance can be coaxed out of Julia. It clarified many of the fundamental questions that I had on writing Julia code which most other introductory tutorials on Julia found online glazed over.

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skypuppy Aug 03, 2021

Saw -tube videos, read some online discussions, then jumped right into learning Julia. In books, started with a $9 one that was worthless. Next, a Julia language "primer," which was just that I needed. 3rd book for me is this one for high performance programming. (I've only been programming many languages since 1977 so I'm still a beginner.) For HP working concepts, this book did not disappoint!It gives a broad spectrum of Julia specifics, exactly what I was hoping for. The only topic, of the many addressed, that was glossed over is 'broadcasting.' I still don't have a conceptual handle on that concept. Of the many others presented, the code snippets and references were an ideal blend that teaches you broadly what Julia is and what it's good for. Not many programming primers do that and even fewer do it this well.Yes, there are typos, some of which I still haven't figured out. :) Where is the Packt EDITOR? Probably sleeping on a park bench somewhere... That was the only disappointing issue in this entire work.Highly recommended if you are familiar with programming in general and have a pretty good background in the technical basics of compiler concepts. Maybe that is a misleading statement; the book is probably an excellent reference in general for working and getting the most out of Julia and your hardware.I want MORE! I want deep dives into so many of the concepts presented in this work!And, btw, excellent value for your money. :)

Danylo Malyuta Jan 20, 2020

I felt like I needed to write a review to offset the other 1 star review. I think that the book is great. Unlike a generic computer science textbook, this focuses specifically on how and why Julia is fast - and what to do and not to do in order to make your Julia code speedy. This was the first Julia book that I bought and I got a lot of value out of reading it.

Hannes Hoppe Dec 25, 2019

This book is nothing more than a beginners guide in Julia, combined with the section from the Julia documentation about performance tweaks. It is bad-written and has typos (many typos). There seems to be no lectorate at Packt. Instead of this book, you should better get a formal computer science book about high performance programming independent of language, then you know what your computer does and why it helps to speed the program up. Julia is insightful enough to apply this concepts. I would have hoped that this book would go over more more topics and some background and not just copy the section from the documentation about performant programming in Julia, but it does not. I would advice against buying it.

Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond , Second Edition

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