distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- starting dask.distributed.Client with default settings results in endless restarting of workers
- Avoid signaling outside main thread when starting jupyter server
- Serialize some lists using Dispatch
- Accurate occupancy calculation / occupancy replacement
- SpecCluster implmentation closes the scheduler unexpectedly
- How should `distributed` deal with mismatches between Python or package versions?
- Adaptive goes into an endless loop when used on SpecCluster that starts several worker processes by jobs
- Network occupancy dashboard
- Differentiate between compute and network based occupancy
- `SystemError: unknown opcode` with `SchedulerPlugin` when client uses Python3.10 and scheduler Python3.9
- Docs
- Python not yet supported