Parallel Computing in Julia
Using Multi-threading and Distributed Computing
Updated on Jun, 2025
Language - English
IT and Software ,Cloud Computing,
Lectures -34
Duration -2 hours
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Course Description
This course teaches the complete basics of the world of parallel programming.
Let’s develop the skills to solve problems by harnessing the power of multiple processors. Forget the tired old "pi calculation" paradigm – we'll explore practical applications that demonstrate the true power of parallel computing
The key concepts are covered in this tutorial using clear and concise explanations, and plenty of real-world examples, leveraging JuliaHub’s rich infrastructure and package ecosystem. To ensure that your code runs efficiently, we will also provide performance tips.
So, fasten your seatbelts and prepare for a trip into parallel programming world!
Goals
Practical Examples: Go beyond simple tasks with hands-on examples so that you can understand and apply parallel programming concepts in a more effective way.
JuliaHub Infrastructure: Use the JuliaHub platform to run and manage your calculations without any hitch.
Julia Package Ecosystem: Look for and utilize various Julia packages which would help to enhance your programming skills.
Performance Tips: Get valuable tips and techniques on how to optimize your parallel programs for better performance.
Focused Content: The course is designed such that strongly-focused messages and basic ideas would be stressed in order to enhance your learning. .
Prerequisites
Experience with Julia language fundamental, and also is recommended some experience with parallel programming in any language.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Fast introduction
02:09
02:09
-
Juliahub
02:32
02:32
Multi-threading
14 Lectures
Distributed Computing
18 Lectures
Instructor Details
Noel Araujo
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