distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- [WIP] Queue root tasks on scheduler, not workers [with co-assignment]
- Task co-assignment logic is worst-case for binary operations like `a + b`
- Reimplement `replicate()` using the Active Memory Manager
- Default "dask" (de-serialization) protocol fails to preserve type.
- Broadcast-like operations are poorly scheduled (widely-shared dependencies)
- Ctrl-C during `compute`/`map`/`submit`/etc. doesn't stop sending data to scheduler
- Flaky `test_AllProgress`
- flaky `distributed/tests/test_failed_workers.py::test_gather_then_submit_after_failed_workers`
- Flaky `test_quiet_client_close`
- Validation error in `transition_flight_missing` for `test_chaos_rechunk`
- Docs
- Python not yet supported