distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- dask serialization for cuda pytorch tensors
- Include `BatchedSend` state in cluster dumps
- Allow stealing of fast tasks in some situations
- Require major.minor Python version match
- Dashboard memory/CPU increases when dashboard is used, making scheduler unresponsive
- [Retrospective] Use of ContextVars for passing stimulus_id's within the Scheduler
- Missing test: duplicates in Worker.ready
- Better description and warnings for using `n_workers=auto`
- How should our test matrix look like?
- Possible lead for `WARNING - full garbage collections took XY% CPU time recently` on CI
- Docs
- Python not yet supported