distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- PubSub functionality kills stream-based connections due to race conditions
- Client.map() keys as a list breaks Dask queue system
- Support collective style tasks
- [QST][Bug?] Can I fit/evaluate many XGBoost models on the same cluster?
- Revert "Run against stable fsspec"
- RecursionError when using PerformanceReport context manager
- Race condition in scatter->dereference->scatter
- UnboundLocalError when collecting results
- Optionally kill Worker when PipInstall plugin fails to install something
- Rename futures to tasks
- Docs
- Python not yet supported