MeasureTransport / MeasureTransport/MParT
Run an example using google colab GPU
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 18
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
Related to MeasureTransport/MParT-examples#3. From my tests it seems that there is no issue running MParT on colab. However, from my understanding, for now, setting the hardware to be GPU doesn't bug the compilation but doesn't use the GPU capacity either.
Overall I think it could be a great milestone for the project and an easy demonstration/"selling" point to show the portability of the code and its GPU computation capacity.
I can definitely help with colab installation stuff, but will need help from the GPU aware people.
Contributor guide
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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
Start with the related MeasureTransport/MParT-examples#3 issue and the existing Google Colab installation approach. Verify whether selecting GPU actually uses GPU capacity; done means a reproducible Colab example that demonstrates MParT GPU computation and explains the required setup.
Written by the indexing model from the issue text.
Assessment
- Domain
- cloud, hpc
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100