Build Your Own Super Computer with Raspberry Pis

Create a computer cluster using Raspberry Pi boards - everything from hardware, software, design and networks
4.31 (524 reviews)
Udemy
platform
English
language
Hardware
category
instructor
Build Your Own Super Computer with Raspberry Pis
42 237
students
2.5 hours
content
Apr 2016
last update
FREE
regular price

Why take this course?


Course Title: Build Your Own Super Computer with Raspberry Pi 🚀

Headline: Create a Powerful Computer Cluster on a Budget - Harness the Collective Force of Raspberry Pi Boards! 🌟

Course Description:

Are you ready to embark on an exciting journey into the world of high-performance computing, without breaking the bank? With the Build Your Own Super Computer with Raspberry Pi course, you'll learn how to assemble a robust computer cluster using the versatile and cost-effective Raspberry Pi boards. Whether you're a tech enthusiast, a scientist, a programmer, or a student eager to dive into the realm of parallel processing, this course is your golden ticket! 🎫

Why Take This Course?

  • 💡 Curiosity Fulfilled: Ever wondered how supercomputers work and how you can replicate that power at home or in a lab? This course answers that call.
  • 🛠️ Skill Development: From hardware to software, network design to multithreaded programming, this course covers all the essentials needed to create and manage your own super computer.
  • 🚀 Cost-Effective Computing: Raspberry Pi provides an affordable solution for those who need high processing power without the hefty price tag of traditional supercomputers.
  • 🤝 Community Engagement: This course is a living document, evolving with your input and feedback. Your suggestions can shape future content!

What You'll Learn:

  • Hardware Setup: Understand the components required for each node in your super computer.
  • Software Configuration: Get hands-on experience installing and configuring Raspbian OS on your Raspberry Pi 2 B+ (or similar).
  • Design Principles: Discover best practices for designing and networking multiple Raspberry Pi devices to work in unison.
  • Parallel Processing: Learn how to write programs that can run simultaneously across multiple nodes, drastically speeding up computations.
  • Real-World Applications: Apply your newfound knowledge to actual projects, such as simulations, data analysis, or other compute-intensive tasks.

Course Features:

  • Step-by-Step Instructions: Clear and concise video lectures that guide you through every step of the process.
  • Hands-On Experience: Practical exercises that ensure you understand both the theory and its implementation.
  • Versatile Learning: Suitable for all levels, from complete novices to experienced users who want to expand their Linux and clustering knowledge.
  • Continuous Updates: As new developments occur in this rapidly evolving field, we'll add more tutorials and updated content to keep you at the cutting edge.

Who This Course Is For:

  • Raspberry Pi Enthusiasts
  • Scientific Researchers in need of low-cost processing power
  • Programmers looking to tackle multithreaded algorithms
  • Students exploring Linux-based clustering solutions
  • Anyone interested in building a powerful, yet affordable, super computer!

Join Ben Heidorn, an experienced instructor with a passion for Raspberry Pi and distributed computing, on this thrilling adventure. Enroll now to start your journey towards building an impressive super computer that's as powerful as it is affordable! 🎓💰💪


Course Gallery

Build Your Own Super Computer with Raspberry Pis – Screenshot 1
Screenshot 1Build Your Own Super Computer with Raspberry Pis
Build Your Own Super Computer with Raspberry Pis – Screenshot 2
Screenshot 2Build Your Own Super Computer with Raspberry Pis
Build Your Own Super Computer with Raspberry Pis – Screenshot 3
Screenshot 3Build Your Own Super Computer with Raspberry Pis
Build Your Own Super Computer with Raspberry Pis – Screenshot 4
Screenshot 4Build Your Own Super Computer with Raspberry Pis

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Related Topics

558166
udemy ID
18/07/2015
course created date
02/06/2019
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