distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- [QST][Bug?] Can I fit/evaluate many XGBoost models on the same cluster?
- Deadlock with python 3.11
- Revert "Run against stable fsspec"
- Submit collections metadata to scheduler
- CI failure due to dependency conflict
- Expose paused and retired workers separately in prometheus
- Ensure workers do not kill on restart
- The buffer of embedded numpy variables is deep-copied in client->scheduler comms
- Dynamically imported functions by path cannot be executed with `ClientExecutor`.
- dask/distributed occasionally fails to deserialize pandas dataframe due to `AssertionError: Number of manager items must equal union of block items
- Docs
- Python not yet supported