distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Provide means to monitor which task / worker is holding the lock or semaphores
- Random access array take using P2P
- Remove functionality of batching submission in client.map
- Use default scheduler port for LocalCluster
- Repeated calls to `memory_color` take around 12% of CPU time of scheduler
- `test_restarting_does_not_deadlock` flaky due to import error on deserialization
- Add no-clients-timeout option
- Preload code provided by `--preload` does not kill worker on failure
- Add `drain` option to dask-worker
- Adjust threshold for bad worker on worker table based on worker-ttl
- Docs
- Python not yet supported