distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- excessive CPU time spent on gc (even after manually adjusting gc thresholds)
- Faulty assert in Worker.transition_waiting_ready
- Worker memory not being freed when tasks complete
- Visual suggestion for task graph
- Identify and warn about starting processes in module
- [Feature] Add worker capabilities/labels
- Cost per task grows with number of tasks
- Low-level profiler issue on OSX
- Include CUDA stack information in profile plots
- Dask-Yarn & Dask-Dataframe map_partitions apply Error
- Docs
- Python not yet supported