distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Scale up on memory pressure
- Flaky `distributed/diagnostics/tests/test_task_stream.py::test_client_sync`
- warn about the profiler when used in tests
- Inconsistent return type in result from `client.submit` when returning an `astropy.units.Quantity` object
- PicklingError when using custom ProcessPoolExecutor
- Should `utils_test.py` be considered public API?
- Add some creation context to ``Client`` docs
- Generic Cluster object for when you just have a scheduler address
- `Client` shouldn't create `LocalCluster`
- Replace custom profiler with `py-spy`
- Docs
- Python not yet supported