[FEA] Move Python 2d partitioning (sub comms) code from cugraph
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feature request
inactive-30d
inactive-90d
- Dominant language
- Cuda
- Stars
- 1k
- Forks
- 251
- Avg merge
- 1d 8h
- Merged PRs (30d)
- 31
Description
This is in preparation for eventually unifying more of our MNMG infrastructure.
ideally we would eventually be able to implement an algorithm which makes use of both mnmg ML and Graph primitives (perhaps HDBSCAN or SLHC?)
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
The issue names no files, tests, or entry points. Start by locating the Python 2d partitioning and sub-communicator code in cugraph, then identify the corresponding MNMG infrastructure in RAFT. Done means the code has been moved in a way that supports eventual unified ML and graph primitives.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100