distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- WIP: Shared plasma
- Worker profiling may return inaccurate results if event loop is busy.
- Last few tasks stall while merging two large dataframes
- Add cluster manager info to scheduler
- restrict task to specific workers
- AttributeError: type object '...' has no attribute '_io_loop' in Actor constructed without a default client
- Scheduler ignores current resource consumption levels while scheduling
- [DNM] Don't queue resource tasks; wait for availability
- flaky test tests/test_actor.py::test_one_thread_deadlock_timeout
- Avoid windows NotaDirectoryErrors in tests
- Docs
- Python not yet supported