distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- losing GPUs as workers after a while running
- Flaky test_tls_specific
- Prioritize the migration of recent expensive to compute data during RM scale down
- WARNING - Memory use is high but worker has no data to store to disk
- Request for documentation on tuning for scaling to thousand-node cluster
- Clarification of the task graph: are futures allowed in tuples that aren't tasks?
- Flaky test_broken_worker_during_computation
- Expose or proxy internal IPs of workers for Prometheus monitoring
- Add ability to reset stateful dashboards
- Semaphore gets released too often
- Docs
- Python not yet supported