Katrina Riehl
where else to find them
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what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Jacob Tomlinsononce
who talks about the same things
- Andy Terrel11 talks
- Jacob Tomlinson10 talks
- McCarty2 talks
- Travis E. Oliphant13 talks
- Anmol Krishan Sachdeva10 talks
- Dragan Djuric5 talks
| title | conference | date |
|---|---|---|
| GPU Algorithm Authoring with CUDA Tile | PyData London 2026 | 2026-06-05 |
Claim: tile programming with CUDA Tile and cuTile Python lets authors write array‑centric GPU kernels that stay portable across NVIDIA architectures. The… | ||
| CUDA Python Kernel Authoring | PyData Boston 2025 | 2025-12-08 |
Deploy steps use Brev and a GCP L4 GPU, CUDA 12.8 instance, then install the CUDA toolkit (apt repo) because pip alone misses NVRTC. Examples use CuPy and cuDF… | ||
| GPU development with Python 101 | PyData Global 2024 | 2024-12-03 |
Claim: Python can run real CUDA without C++; tools used are numba CUDA kernels and cuDF/pandas plugin on NVIDIA’s DLI/Jupyter environment. Concrete results: a… | ||
| Keynote: Scientific Computing and the Gateway to Open Source | PyData Seattle 2023 | 2023-04-26 |
History and impact of scientific open source gets concrete claims: NumFOCUS fiscally sponsors 120 affiliated projects, routes millions in funding while… | ||
| What the...? Data Science Questions Asked and Answered | PyData Austin 2019 | 2019-12-07 |
A run-through of concrete claims and tradeoffs: a security company running services for 200 million Internet properties and using a lava lamp RNG to seed… | ||
| Q&A with Keynote Katrina Riehl | PyData Austin 2019 | 2019-12-07 |
Recommends concrete steps for healthier projects: require affiliation with NumFOCUS or at least a code of conduct, add a first-contribution guide and follow-up… | ||
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