distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Include server address in all logs
- Client controllable "info" area in dashboard status page
- Run test suite with dev version of `bokeh`
- Possible race condition in `replicate()` causing `ValueError("Sample larger than population or is negative")`
- Failure to pickle/unpickle on flight breaks the worker state machine
- scatter to empty adaptive cluster
- use an iterative algorithm for profile.merge
- flaky test `distributed/tests/test_asyncprocess.py::test_exit_callback`
- Review functionality: add worker resources on the fly
- adapt kills all workers
- Docs
- Python not yet supported