CUDA Programming Course – High-Performance Computing with GPUs
Key Takeaways
This video course teaches CUDA programming for high-performance computing with GPUs, covering topics such as CUDA setup, C/C++ review, intro to GPUs, and PyTorch extensions. The course uses Nvidia CUDA and provides code examples on GitHub.
Original Description
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
Code:
💻 https://github.com/Infatoshi/cuda-course
💻 https://github.com/Infatoshi/mnist-cuda
Elliot on X - https://x.com/elliotarledge
YouTube - https://www.youtube.com/@elliotarledge
LinkedIn - https://www.linkedin.com/in/elliot-arledge-a392b7243/
Discord - https://discord.gg/JTTcFe7Pw2
⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:16:52) Chapter 1 (Deep Learning Ecosystem)
⌨️ (0:37:43) Chapter 2 (CUDA Setup)
⌨️ (0:47:03) Chapter 3 (C/C++ Review)
⌨️ (1:35:47) Chapter 4 (Intro to GPUs)
⌨️ (1:51:40) Chapter 5 (Writing your First Kernels)
⌨️ (3:55:26) Chapter 6 (CUDA API)
⌨️ (5:35:22) Chapter 7 (Faster Matrix Multiplication)
⌨️ (8:22:36) Chapter 8 (Triton)
⌨️ (9:04:43) Chapter 9 (PyTorch Extensions)
⌨️ (9:18:10) Chapter 10 (MNIST Multi-layer Perceptron)
⌨️ (11:41:13) Chapter 11 (Next steps?)
⌨️ (11:54:38) Outro
❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp
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