distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- TCP timeouts connecting to cluster
- Scheduler deadlocks after asynchronous `client.who_has` call
- Cycle detected in layout in Groups visualization
- Add hierarchy to published dashboard plots
- Narrow down `except OSError` blocks
- Task Group visualization doesn't scale to thousands of task groups
- [Idea] Could workers sometimes know when to release keys on their own?
- Determine behavior for failed process task
- Add documentation and example for using a ProcessPoolExecutor
- Combine worker and cluster memory plots?
- Docs
- Python not yet supported