distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Remove timeout and executor_wait from Worker.close
- Add metrics for internal transfers
- Alternative `worker_client` usage model
- Restart can kill a worker
- Document where local files and spilled data are stored
- Test for balanced scale-up with queuing
- Consistent worker selection for no-deps cases
- Tasks which are obviously root tasks not considered `rootish`
- Queuing does not prevent root task overproduction unless you have enough tasks
- [DNM] Is >=20 worker round-robin even tested?
- Docs
- Python not yet supported