distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Wrong report of currently executed tasks when using --nworkers N, with N>1
- Strange behavior of distributed client.compute vs. dask.compute when using dask-awkward, dask-histogram
- Unresponsive workers should be flagged on the dashboard
- `cluster_dump` roundtrips break non-stringified keys
- Repeated `Client.restart()` hangs and times out
- `retry` can produce excessively large logs
- Add GitHub action to enforce `do not merge` label
- UnboundLocalError when collecting results
- Graph submission embeds buffers in a monolithic msgpack blob
- Support returning exceptions for failed tasks in `Client.gather`
- Docs
- Python not yet supported