distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Local Python env Cluster (rebased)
- Adaptivity should be managed on the scheduler
- Log client addresses in scheduler lifecycle messages
- feat(stealing): add margin-of-improvement bound to prevent work-stealing thrash
- Xarray indices and other non-Dask variables are round-tripped to the Dask scheduler
- rootish tasks with resources restrictions are not queued
- Add `Condition` class
- Docs
- Python not yet supported