distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Propagate reason to client-side `FutureCancelledError` when closing the scheduler
- Remove data spilling that acts on `target` threshold
- Shuffle p2p
- Raise an error in ``scatter`` when ``broadcast`` and AMM are incompatible
- Failure in a task submitted by another task can leave an "erred" task permanently on the cluster
- TimeoutError in distributed.nanny causing gRPC server crash after prolonged analysis
- Provide means to monitor which task / worker is holding the lock or semaphores
- Random access array take using P2P
- Use default scheduler port for LocalCluster
- Repeated calls to `memory_color` take around 12% of CPU time of scheduler
- Docs
- Python not yet supported