distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Future.result() on a worker's client unnecessarily pickles and duplicates data
- Don't fail `Worker.close` if extensions or plugins fail to close.
- Flakiness in test_shuffle.py
- test_file_descriptors_dont_leak[Nanny] is broken on MacOSX
- `test_ready_remove_worker` broken on Python 3.11
- Push tensor back to CPU
- RFC: Rename Future to Task in public facing interface
- Exit code on scheduler connection broken
- Make rootish heuristic sensitive to size of task group
- Profiling data of Scheduler.update_graph for very large graph
- Docs
- Python not yet supported