# datawhalechina/hello-gpu

<https://repo.masters-masters.com/en/repos/datawhalechina/hello-gpu>

[Home](https://repo.masters-masters.com/en) › [datawhalechina](https://repo.masters-masters.com/en/owners/datawhalechina) › [hello-gpu](https://repo.masters-masters.com/en/repos/datawhalechina/hello-gpu)

datawhalechina/hello-gpu has 136 stars on GitHub. Its RepoMasters card: Prototype tier. Hello GPU：从 AMD GPU 架构、ROCm 工具链到 HIP/Triton 算子优化与单卡推理性能分析的实战教程。

| Field | Value |
| --- | --- |
| Owner | [datawhalechina](https://repo.masters-masters.com/en/owners/datawhalechina) |
| Stars | 136 |
| Forks | 19 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2026 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [datawhalechina/hello-gpu](https://github.com/datawhalechina/hello-gpu) |

## Repository

Hello GPU：从 AMD GPU 架构、ROCm 工具链到 HIP/Triton 算子优化与单卡推理性能分析的实战教程。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
