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playbooks/supplemental/pytorch-kernels/README.md

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@@ -59,7 +59,7 @@ Both approaches run on AMD GPUs. This is possible because PyTorch's ROCm build m
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A GPU kernel is a function that runs in parallel across thousands of GPU threads simultaneously. Unlike a CPU function that executes once per call, a kernel is launched with a **grid** of **blocks**, each containing many **threads**, all executing the same code on different data.
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<p align="center">
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<img src="https://github.com/user-attachments/assets/4773c54b-686e-4b1b-8fea-d451dee9c27c" width="900"/>
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<img src="assets/grid_threads.png" width="900"/>
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</p>
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### GPU Execution Model: Wavefronts
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