Domino + PP
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
Research direction
Start by reading schedules.py, especially forward_backward_no_pipelining(), and trace how Domino's tensor-parallel optimization is connected to scheduling. Determine whether tensor parallelism and pipeline parallelism are supported together; done means the compatibility question has a documented or tested answer.
Written by the indexing model from the issue text.
Description
I’m excited about the recent introduction of Domino and its impressive TP optimization.
When I was using deepspeed-domino to better overlap comm & comp in TP, I found domino use forward_backward_no_pipelining() in schedules.py. Is that mean I couldn't use domino(tp optimization) and pp together?
- Dominant language
- Python
- Stars
- 6.8k
- Forks
- 1.1k
- Avg merge
- 2d 16h
- Merged PRs (30d)
- 1
Contributor guide
No contributing guide indexed for this repository
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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