distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- 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
- Support multiple measures in `MemorySampler`
- Enable `Client.get_versions` to get versions from all other clients and compare against those
- flaky `test_quiet_close_process[True]`
- Reduce recursionlimit for `test_client.py::test_profile`
- Docs
- Python not yet supported