distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Consolidating all tasks that write to a file on a single worker
- LocalCluster not reaping workers with run_on_scheduler and multiprocessing-method: spawn
- Bokeh dashboard (when explicitly requested) needs to either error or display port
- MPI Comm
- Adding cancel_all
- Inlining relevant Client-held Futures in Dask
- Adding Cluster controls to the Dashboard
- Slow running process dying at the last hurdle
- Alternative destination-specific serialization
- planned worker death / self-scale down
- Docs
- Python not yet supported