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Parallel Computing in Julia

person icon Noel Araujo

4.2

Parallel Computing in Julia

Using Multi-threading and Distributed Computing

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Noel Araujo

category icon IT and Software ,Cloud Computing,

Lectures -34

Duration -2 hours

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4.2

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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.



Parallel Computing in Julia

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

2 Lectures
  • play icon Fast introduction 02:09 02:09
  • play icon Juliahub 02:32 02:32

Multi-threading

14 Lectures
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Distributed Computing

18 Lectures
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Instructor Details

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Noel Araujo

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