distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- 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?
- Don't import packages just for version compatibility check
- Dask Futures performance as the number of tasks increases
- Support password-encrypted TLS keys
- Scheduler gets stuck in a loop if one or more workers terminate during client.scatter()
- [Discussion] What if broken Client connections didn't release Futures at all?
- Scheduler stops itself due to idle timeout, even though workers should still be working
- Docs
- Python not yet supported