distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Make default value of `LocalCluster` `scheduler_port` match docstring
- GPU gets counted for each worker
- P2P shuffle is slow with string dtypes
- Support asynchronous flag in worker::get_client
- Unmanaged memory leads to program hanging
- Dask unmanaged memory terminate worker causing error: ERROR:asyncio:Future exception was never retrieved
- Support for Python 3.11
- Workers in distributed cluster are not using all the cores
- actor is created in different client
- Computations meta-issue
- Docs
- Python not yet supported