distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- 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
- Flame graph view for profile plot
- Scale by number of cores or amount of memory
- Cluster should support many worker types
- Docs
- Python not yet supported