distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Import times are rising
- Allow worker's internal Executor to uses processes
- Throttling tasks
- Move disk I/O off of the main event loop thread
- Distributed's Adaptive's Scheduler `retire_workers` and Cluster `scale_down`
- Adding fire_and_forget method to Client
- Asyncio progress reporting
- upload directories
- Keras serializer needs to recompile model for more training
- groupby on a filtered frame should automatically persist
- Docs
- Python not yet supported