distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Deadlock after few workers take all tasks
- GIL-holding functions
- Side-effect free & lazy multiprocessing context
- Missing spilled key
- Localcluster memory leak
- Incorrect documentation about `workers` keyword in Data Locality article
- [Idea] Handle large graphs by spilling tasks to disk on Scheduler
- `Nanny` assumes `self.scheduler` is `Scheduler`, hangs when used in `async with`
- Jupyter delayed/feature interactive repr widget
- workload not balancing during scale up on dask-gateway
- Docs
- Python not yet supported