GPU integration: Dask, cuda (cudf) and RAPIDS (Polars)
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 42
- Forks
- 18
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Description
https://pola.rs/posts/polars-on-gpu/
https://www.reddit.com/r/Python/comments/xjx4uo/benchmarking_pandas_cudf_modin_apache_arrow_and/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by reviewing the linked Polars GPU article and benchmarking discussion; define the integration scope and acceptance criteria before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100