distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- pubsub: not all put() operations are completed
- Hardcoded time outs lead to complete teardown of communication layer
- Allow scheduler to preserve worker hostnames
- Default use jupyter-server-proxy with dask-labextension
- 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
- Docs
- Python not yet supported