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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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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

Summary

In this chapter, we noted that Julia is a language that is built from the ground up for high performance. Its design and implementation have always been focused on providing the highest possible performance on a modern CPU.

The rest of the book will show you how to use the power of Julia fully, to write the fastest possible code in this language. In the next chapter, we will discuss how to measure the speed of Julia code, and identify performance bottlenecks. You will also learn about some of the tools that are built into Julia for this purpose.

You have been reading a chapter from
Julia High Performance - Second Edition
Published in: Jun 2019
Publisher: Packt
ISBN-13: 9781788298117
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