In Part 2 of our three-part series on GPU programming with Mojo and MAX, we dive into building custom operations that target both CPUs and GPUs using a simple vector addition example.
We start with a high-level overview of modern GPU architecture—covering streaming multiprocessors, memory hierarchy, and thread blocks—before walking through how to implement and dispatch parallel GPU operations using Mojo.
👉 You'll learn how to:
• Write a custom vector addition operation for CPU and GPU
• Use Mojo’s threading model and GPU context to parallelize your computation
• Build and run the operation using the magic package manager
• Understand GPU thread IDs and grid/block scheduling
• Run your code on supported NVIDIA and AMD GPUs
00:00 Intro
00:08 What we will cover
00:28 Hardware requirements
00:57 Getting started/installation
1:16 Simplified GPU architecture
2:03 Walk through vector addition example
3:09 Vector addition on CPU implementation
3:29 Vector addition on GPU implementation
5:57 Run the vector addition example
6:11 Learn more at builds.modular.com
6:29 Join our community forum at forum.modular.com
🔗 Try it out: https://builds.modular.com
💬 Join the Modular community: https://forum.modular.com
➡️ Coming next:
• Visualize the Mandelbrot set using Mojo’s complex types
Join our community 🤝:
Forum - https://forum.modular.com/
GitHub - https://github.com/modular
X (aka Twitter) - https://x.com/modular
LinkedIn - / modular-ai
Reddit - / modularai
#gpu #programming #ml #vectoraddition