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Julia High Performance

You're reading from   Julia High Performance Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781788298117
Length 218 pages
Edition 2nd Edition
Languages
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Author (1):
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Avik Sengupta Avik Sengupta
Author Profile Icon Avik Sengupta
Avik Sengupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Julia is Fast FREE CHAPTER 2. Analyzing Performance 3. Types, Type Inference, and Stability 4. Making Fast Function Calls 5. Fast Numbers 6. Using Arrays 7. Accelerating Code with the GPU 8. Concurrent Programming with Tasks 9. Threads 10. Distributed Computing with Julia 11. Licences
12. Other Books You May Enjoy

Technical requirements

This chapter requires a basic familiarity with the concepts of heterogeneous computing on the GPU. The code here also assumes access to an NVIDIA GPU built within the last five years or so. So, additional software also needs to be installed beyond Julia (such as the CUDA toolkit), but we show you how to do that within the chapter. Also, while everything else in this book is operating system agnostic and should run in all platforms where Julia is supported, the code in this chapter is tested only on the Linux operating system, and may not work in the same way on other operating systems. 

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