distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Ease memory pressure by deprioritizing root tasks?
- Worker event loop performance hampered by GIL/convoy effect
- "Worker process died unexpectedly" when tasks don't release GIL
- Unmanaged (Old) memory hanging
- AssertionError: Status.created
- Set worker memory limits at OS level?
- No longer start stopped loops in LoopRunner to allow the use of asyncio.run
- Dashboard memory/CPU increases when dashboard is used, making scheduler unresponsive
- How should our test matrix look like?
- Possible memory leak when using LocalCluster
- Docs
- Python not yet supported