dask
https://github.com/dask/dask
Python
Parallel computing with task scheduling
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- Issues
- Why uneven task allocation on many identical operations?
- Generalize categorical handling to support cuDF and other backend libraries
- Custom defined Aggregations faile with empty partitiions
- Adding `copy` function and standardizing `copy` method
- Couldn't head return early?
- Sparse COO divide by zero is zero
- Have the dask array __getattr__ fall back on _meta when an attribute is missing from the array itself
- Have dask array use the information contained in gufuncs to create the "test" _meta run
- unclear if possible or how to add meta type info to a custom Aggregation
- dask-ssh will not send correct address when scheduler is localhost
- Docs
- Python not yet supported