CUDA Programming Day 1

• Jonathan Bentz (NVIDIA)

CUDA Programming Day 2

• Jonathan Bentz (NVIDIA)

Python Programming for GPUs **Schedule** * **0:00** (30 min) Introduce the Python tools; see [lecture-slides.ipynb](https://github.com/jpivarski-talks/2023-11-02-atlas-gpu-python-tutorial/blob/main/lecture-slides.ipynb) * **0:30** (20 min) Compute the Z mass in CUDA with Numba * **0:50** (20 min) Introduce tree-reduction * **1:10** (20 min) Students work on [Project 1: parallel histogram filling](https://github.com/jpivarski-talks/2023-11-02-atlas-gpu-python-tutorial/blob/main/projects/project-1-fill-histograms.ipynb) * **1:30** (5 min) _break_ * **1:35** (20 min) Review [Project 1 solutions](https://github.com/jpivarski-talks/2023-11-02-atlas-gpu-python-tutorial/blob/main/solutions/project-1-fill-histograms.ipynb) _(don't peek until you've tried it!)_ * **1:55** (20 min) Introduce random seeding of parallel algorithms * **2:15** (20 min) Students work on [Project 2: compute area by random sampling](https://github.com/jpivarski-talks/2023-11-02-atlas-gpu-python-tutorial/blob/main/projects/project-2-compute-area.ipynb) * **2:35** (5 min) _break_ * **2:40** (20 min) Review [Project 2 solutions](https://github.com/jpivarski-talks/2023-11-02-atlas-gpu-python-tutorial/blob/main/solutions/project-2-compute-area.ipynb) _(don't peek until you've tried it!)_ * **3:00** _end_