distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Hanging when using python multiprocessing along with dask.distributed
- Distributed scheduler does not obey dask.order.order for num_workers=1, num_threads=1
- When using a local cluster, shuffle with disk
- FargateCluster timeout on exit
- Memory leak in gather()
- Slow execution time on very large k8s-backed dask cluster
- Deadlock - task not running
- Scheduler underestimates data transfer cost for small transfers
- Randomly at the end of a program I get an error that some temporary directory cannot be removed
- Memory prioritization on workers
- Docs
- Python not yet supported