distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Client cannot connect to scheduler when using multiprocessing
- Allow worker to prioritize tasks based on memory production/consumption
- Add worker name as label to prometheus metrics
- Adjust transfer costs in `worker_objective`
- Scheduler underestimates data transfer cost for small transfers
- Randomly at the end of a program I get an error that some temporary directory cannot be removed
- SpecClusters may associate the wrong name for a worker
- Ignore widely-shared dependencies in `decide_worker`
- Support `executor="processes"` and the like to Worker
- Use explicit GraphLayout plugin naming.
- Docs
- Python not yet supported