CUDA Programming Course – High-Performance Computing with GPUs

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​ 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   Read More freeCodeCamp.org 

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