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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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