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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

Tasks

A Task is simply a set of instructions that can be suspended and resumed at any point within that set. A function could also be thought of as a set of instructions, and hence tasks can be seen as something similar. But there are two crucial differences—one, there is no overhead to switching between one task to another, meaning, no stack space is reserved for a switch. Second, unlike a function that has to finish before control goes back to the caller, a task can be interrupted and control switched to another at many different times during its execution. In other words, there is no caller-callee hierarchical relationship in tasks. 

Tasks can provide the illusion of having two parallel sequences of instructions running simultaneously on the computer. It is important to note that with tasks, only one of those sequences is running on the CPU at any one point. Tasks...

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