CUDA
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start by running the linked reproducer with CUDA and Polynomials, focusing on the Polynomial(a) call for a CuVector. Trace where that constructor stops responding and add a regression test; done means the example completes without hanging.
Written by the indexing model from the issue text.
Description
In https://discourse.julialang.org/t/using-polynomials-jl-with-cuda-jl/80580 we find the following hangs:
using CUDA, Polynomials
a = CuVector([1.0f0, 1.0f0, 1.0f0])
Polynomial(a)
- Dominant language
- Julia
- Stars
- 321
- Forks
- 81
- Avg merge
- 10h 1m
- Merged PRs (30d)
- 5
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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