distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- dashboard memory usage tick alignment
- Scaling limits in SpecCluster
- Launch Jupyter notebook server from Scheduler
- Automatically assign resources based on serialized form of functions
- [Bug] Worker stuck in "closing-gracefully" state
- Add new worker specs in groups
- enable dashboard-address in yaml config
- Add cores and memory fields to SpecCluster widget for scaling options
- Worker task deserialization and ThreadPoolExecutor interactions
- Scheduler dashboard progress bar partially grey
- Docs
- Python not yet supported