distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Investigate worker overhead
- progress ipywidget should handle cancelled futures
- Data lingers in memory due to imbalance of worker priorities
- Does dask distributed allow customized work.executor?
- Check if port is in use (before trying to publish the dashboard to it)
- Serialize data within tasks
- Ability to cancel the chain of dependent tasks from within some task
- 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
- Docs
- Python not yet supported