distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- SpecCluster + Dask JobQueue does not retire workers when scaling down.
- Adaptive scaling went above the number of available tasks
- Using Dask serialization in more cases
- Semaphore and other objects as task condition
- raise CommClosedError() distributed.comm.core.CommClosedError with tornado.iostream.StreamClosedError: Stream is closedz
- Add basic GPU information to dashboard tables
- Unable to serialize function with closure including object with custom metadata
- Cluster dies with "failed to deserialize" and "IndexError: pop from empty list"
- Allow workers to talk to multiple schedulers
- Investigate performance issues in profiler
- Docs
- Python not yet supported