@v0xium: The best way to learn CUDA is by solving problems. In this video, I implement 7 beginner CUDA kernels from scratch: • V…

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Summary

A video tutorial implementing 7 beginner CUDA kernels from scratch to help learners build a solid foundation in GPU programming.

The best way to learn CUDA is by solving problems. In this video, I implement 7 beginner CUDA kernels from scratch: • Vector Addition • Matrix Transpose • Matrix Addition • RGB to Grayscale • Value Clipping • Sigmoid Activation • Interleave Arrays If you're getting started with CUDA programming, this should give you a solid foundation.
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Cached at: 07/21/26, 06:41 AM

The best way to learn CUDA is by solving problems.

In this video, I implement 7 beginner CUDA kernels from scratch:

• Vector Addition • Matrix Transpose • Matrix Addition • RGB to Grayscale • Value Clipping • Sigmoid Activation • Interleave Arrays

If you’re getting started with CUDA programming, this should give you a solid foundation.

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@Jolyne_AI: GitHub Open-Source CUDA System Tutorial: LeetCUDA (From Beginner to Advanced, All in One) 200+ Progressive CUDA Kernel Practice Problems, with a companion HGEMM library achieving 98%–100% of cuBLAS performance. Plus 100+ articles on high-performance computing...

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LeetCUDA is an open-source CUDA system tutorial on GitHub, featuring over 200 progressive CUDA Kernel practice problems and 100+ high-performance computing blog posts. Its companion HGEMM library achieves 98%–100% of cuBLAS performance, making it ideal for CUDA beginners and AI engineers to systematically master CUDA optimization.