distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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Help out
- Issues
- `test_map` flaky
- Preserve worker hostname
- idle dask-worker & dask-scheduler have elevated CPU utilization
- Are reference cycles a performance problem?
- Ship warning/error/critical worker logs to Scheduler
- Active Memory Management Control System
- `test_statistical_profiling` flaky
- Add retries to RPC
- Worker assignment for split-shuffle tasks
- `get_worker` can return the wrong worker with an async local cluster
- Docs
- Python not yet supported