distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- remove *NUM_THREADS env variables from default config
- Fix apparent race condition between message processing and `Cluster.scheduler_info`
- Race condition in scatter->dereference->scatter
- Data loss during p2p shuffle
- Mild memory leak in dask workers
- Make rootish heuristic sensitive to size of task group
- RFC: Add Client.decorator method
- Support asynchronous flag in worker::get_client
- p2p: Add in-memory buffering for output DiskShardsBuffer
- [RFC]: Allow in-memory buffering of p2p shuffle results
- Docs
- Python not yet supported