Parallel Computing in Julia
Welcome. I was waiting for you.
This course dives headfirst into the world of parallel programming.
Read more
Welcome. I was waiting for you.
This course dives headfirst into the world of parallel programming.
Welcome. I was waiting for you.
This course dives headfirst into the world of parallel programming.
We'll equip you with the skills to tackle problems by harnessing the power of multiple processors. Forget the tired old "pi calculation" examples – we'll explore practical applications that showcase the true potential of parallel computing.
Leveraging the JuliaHub infrastructure and its rich ecosystem of packages, we'll guide you through the core concepts with clear, concise explanations and plenty of real-world examples. We'll also equip you with performance optimization tips to ensure your code runs as efficiently as possible.
On this course, you can expect:
Practical Examples: Dive into hands-on examples that go beyond simple tasks, helping you understand and apply parallel programming concepts effectively.
JuliaHub Infrastructure: Utilize the JuliaHub platform to run and manage your computations seamlessly.
Julia Package Ecosystem: Explore and use a wide range of Julia packages that enhance your parallel programming capabilities.
Performance Tips: Learn valuable tips and techniques to optimize the performance of your parallel programs.
Focused Content: The course is designed to be straight to the point, emphasizing core messages and essential concepts to maximize your learning experience.
So, buckle up and get ready to unlock the power of parallel programming.
What's inside
Learning objectives
- Students will gain an understanding of fundamental commands in parallel computing in multi-threading and distributed computing paradigms in julia.
- Students will be exposed to julia's tools and packages for parallel programming.
- Students will explore common and also unusual applications of parallelism.
- Students will be able to use multi-threading and distributed computing at the same time.
- Students will gain an understanding of fundamental commands in parallel computing in multi-threading and distributed computing paradigms in julia.
- Students will be exposed to julia's tools and packages for parallel programming.
- Students will explore common and also unusual applications of parallelism.
- Students will be able to use multi-threading and distributed computing at the same time.
Syllabus
Videos aimed to setup some expectations
Introduction
Multi-threading
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Syllabus
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Activities
Review your linear algebra and calculus skills
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Reviewing your linear algebra and calculus skills will help you better understand the mathematical concepts behind parallel programming.
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Linear Algebra
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-
Review your notes from your linear algebra and calculus courses.
-
Take practice problems on linear algebra and calculus.
-
Find a tutor or online resources to help you with any areas where you need additional support.
Follow a tutorial on parallel programming in Julia
Show steps
Following a tutorial will help you get started with parallel programming in Julia
Browse courses on
Parallel Programming
Show steps
-
Find a tutorial on parallel programming in Julia.
-
Follow the tutorial step-by-step.
Create a study guide for the course
Show steps
Creating a study guide will help you organize your notes and better prepare for exams.
Browse courses on
Parallel Programming
Show steps
-
Gather your notes, assignments, and other course materials.
-
Organize your materials into a logical order.
-
Create a study guide that includes key concepts, definitions, and examples.
Four other activities
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Practice solving multithreading problems
Show steps
Solving problems will help you deeply understand how multi-threading works and how to apply it.
Show steps
-
Solve easy multithreading problems on platforms like Leetcode or Hackerrank.
-
Try to solve more complex multithreading problems.
Practice solving distributed computing problems
Show steps
Solving problems will help you deeply understand how distributed computing works and how to apply it.
Browse courses on
Distributed Computing
Show steps
-
Solve easy distributed computing problems on platforms like Leetcode or Hackerrank.
-
Try to solve more complex distributed computing problems.
Write a blog post about a parallel programming project
Show steps
Writing a blog post will help you solidify your understanding of parallel programming and share your knowledge with others.
Browse courses on
Parallel Programming
Show steps
-
Choose a parallel programming project that you have worked on.
-
Write a blog post about your project, including the problem you solved, the approach you took, and the results you achieved.
-
Publish your blog post and share it with others.
Build a parallel programming application
Show steps
Building a parallel programming application will give you hands-on experience with the concepts you learn in this course.
Browse courses on
Parallel Programming
Show steps
-
Choose a problem that you want to solve using parallel programming.
-
Design and implement a parallel programming solution to the problem.
-
Test and debug your solution.
-
Deploy your solution to a real-world environment.
Review your linear algebra and calculus skills
Show steps
Reviewing your linear algebra and calculus skills will help you better understand the mathematical concepts behind parallel programming.
Browse courses on
Linear Algebra
Show steps
- Review your notes from your linear algebra and calculus courses.
- Take practice problems on linear algebra and calculus.
- Find a tutor or online resources to help you with any areas where you need additional support.
Follow a tutorial on parallel programming in Julia
Show steps
Following a tutorial will help you get started with parallel programming in Julia
Browse courses on
Parallel Programming
Show steps
- Find a tutorial on parallel programming in Julia.
- Follow the tutorial step-by-step.
Create a study guide for the course
Show steps
Creating a study guide will help you organize your notes and better prepare for exams.
Browse courses on
Parallel Programming
Show steps
- Gather your notes, assignments, and other course materials.
- Organize your materials into a logical order.
- Create a study guide that includes key concepts, definitions, and examples.
Practice solving multithreading problems
Show steps
Solving problems will help you deeply understand how multi-threading works and how to apply it.
Show steps
- Solve easy multithreading problems on platforms like Leetcode or Hackerrank.
- Try to solve more complex multithreading problems.
Practice solving distributed computing problems
Show steps
Solving problems will help you deeply understand how distributed computing works and how to apply it.
Browse courses on
Distributed Computing
Show steps
- Solve easy distributed computing problems on platforms like Leetcode or Hackerrank.
- Try to solve more complex distributed computing problems.
Write a blog post about a parallel programming project
Show steps
Writing a blog post will help you solidify your understanding of parallel programming and share your knowledge with others.
Browse courses on
Parallel Programming
Show steps
- Choose a parallel programming project that you have worked on.
- Write a blog post about your project, including the problem you solved, the approach you took, and the results you achieved.
- Publish your blog post and share it with others.
Build a parallel programming application
Show steps
Building a parallel programming application will give you hands-on experience with the concepts you learn in this course.
Browse courses on
Parallel Programming
Show steps
- Choose a problem that you want to solve using parallel programming.
- Design and implement a parallel programming solution to the problem.
- Test and debug your solution.
- Deploy your solution to a real-world environment.
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