distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Standard workflow for using ucx/ucx-py to speed up datatransfer between nodes/processes
- debugging adaptive deployment on LSF
- Race condition between `Worker.close` and `Worker.heartbeat` causes worker not to close
- Timed out trying to connect when using multiprocessing library
- More tornado cleanups
- Close attached clients as scheduler shuts down
- dask distributed client.gather() loses reference to dataset across client sessions
- Obscure error message when all copies of scattered data are lost
- Remove circular reference in Cluster
- Error connecting to dask client - giving error There is no current event loop in thread when not using asyncio
- Docs
- Python not yet supported