distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Scaling distributed dask to run 27,648 dask workers on the Summit supercomputer
- Environment Setting in the Nanny
- Documentation / API to check if a Dask collection is persisted
- Client released keys make running tasks get lost
- Create MutableMapping for automatic compression
- Investigate UNIX domain sockets
- Diagnostics page for Adaptive decisions
- `send_task_state_to_scheduler` may not need `self.data[key]`
- Trigger spilling on MemoryError
- Manually scale up adaptive clusters
- Docs
- Python not yet supported