distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Add docs for test_resumed_cancelled_handle_compute
- Cancelled tasks release dependencies
- Introduce public-facing `distributed.testing` module and deprecate `distributed.utils_test`
- Set worker memory limit to current free memory, not total memory?
- Allow `distributed.wait` to raise errors if futures fail
- Handle failing `plugin.start()` calls during scheduler start
- [Discussion] Run all tasks in subprocesses
- Jupyter server won't start from SpecCluster
- Adapt "bouncing" tearing down all workers then recreating them.
- Monitor remaining available disk for spilling
- Docs
- Python not yet supported