distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Ability to specify cost value for computations
- Worker profile limited to a short timespan
- `Scheduler`/`Worker` threads hang when calling `sys.exit()`
- Support collective style tasks
- [QST][Bug?] Can I fit/evaluate many XGBoost models on the same cluster?
- Revert "Run against stable fsspec"
- The buffer of embedded numpy variables is deep-copied in client->scheduler comms
- dask/distributed occasionally fails to deserialize pandas dataframe due to `AssertionError: Number of manager items must equal union of block items
- [DNM] P2P shuffle without PyArrow
- Test CI
- Docs
- Python not yet supported