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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

Generated functions

Macros run very early in the compilers process when there is no information about how the program might execute. The inputs to a macro are, therefore, simply symbols and expressions – the textual tokens that make up a program. Given that a lot of Julia's powers come from its type system, it may be useful to have something like macros – code that generates code – at a point where the compiler has inferred the types of the variables and arguments in the program. Generated functions (also known as staged functions) fulfill this need.

Using generated functions

Declaring a generated function is simple. Instead of the usual function keyword, generated functions are declared with...

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