deepseek-ai / deepseek-ai/DualPipe
What is the benifit of DualPipeV?
- Dominant language
- Python
- Stars
- 3k
- Forks
- 332
- PR merge metrics
- No merged PRs in 30d
Description
I wonder the benfit brought by V-shape. Assuming the batch size and the number of PP stages are the same, DualPipeV requires either twice the devices, twice the micro-batch size, or twice the micro-batch number. The latter two options take twice the time, while the first approach appears to be the same as the original one?
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are identified. Start by tracing the DualPipeV algorithm described by the repository and compare its communication/computation overlap with the original setup under the stated device and micro-batch constraints. Done means a clear explanation of the benefit and its assumptions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, performance
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100