distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- "Worker process died unexpectedly" when tasks don't release GIL
- Misleading variable naming in `dask_worker.py`
- XGBoostError: rabit/internal/utils.h:90: Allreduce failed - Error while attempting XGboost on Dask Fargate Cluster in AWS
- CI failing with `test_get_task_stream_save`
- AttributeError: 'str' object has no attribute 'copy'
- Erred futures are never descoped
- Modify log_errors context manager to avoid traceback leaks
- cleanup exceptions when running client and workers with mpirun
- The dask-scheduler still starts the dashboard when "--no-dashboard" parameter is set.
- if `await worker.close()` fails - subsequent `await close()` calls hang forever
- Docs
- Python not yet supported