distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- RuntimeError: dictionary changed size during iteration from `distributed.default_client()`
- various errors when invoking `dask.distributed.LocalCluster` with custom host (and port)
- Documentation: How to correctly wrap scheduler and workers into systemd unit files as services?
- Update developer documentation / policy to enforce green builds
- Inconsistent treatment of non-string worker names
- [WIP] Enable Skorch+Dask-ML
- Support `task-group-key` and `task-prefix-key` annotations on the scheduler
- `get_versions` without importing packages
- Client.get_versions(check=True) not behaving as expected from docs
- AMM: select candidates based on memory percentage, not absolute usage?
- Docs
- Python not yet supported