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title: CUDA Programming for NVIDIA H100s | daily.dev
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# CUDA Programming for NVIDIA H100s

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 3 min read · 4 upvotes · 0 comments

## Summary

A comprehensive CUDA programming course targeting NVIDIA H100 Hopper GPUs has been released on freeCodeCamp's YouTube channel. The 24-hour course covers H100 architecture internals (Tensor Cores, TMA, Thread Block Clusters, Distributed Shared Memory), low-level PTX assembly, asynchronous barriers, CuTensorMap descriptors, WGMMA (Warp Group Matrix Multiply Accumulate) pipelines, advanced kernel design patterns (warp specialization, ping-pong pipelines, Split-K/Stream-K), a CUTLASS source code walkthrough, and multi-GPU programming with NCCL, NVSwitch, MPI, and parallelism strategies for training trillion-parameter models. Prerequisites include C++ and linear algebra fundamentals.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/cuda-programming-for-nvidia-h100s/>

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---

Tags: [#gpu](https://daily.dev/tags/gpu), [#cuda](https://daily.dev/tags/cuda)

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