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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

Specialized array types

The flexibility of Julia's type system, along with multiple dispatches, makes it easy to write code that is specialized for particular domains or situations. We've seen earlier how Julia's compiler will compile separate methods for different input types. So, for example, different methods may be compiled for adding integers or floats. But the real power comes in using the same principles in third-party libraries, or indeed, your own code. 

Static arrays

Julia's arrays are very powerful and can be used in a whole range of use cases. They can be used as mathematical constructs or containers of arbitrary objects. Operations on arrays are usually highly optimized. However, in situations...

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