numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- out parameter broken for cuda ufuncs
- Result caching in Numba
- Annotate HTML alignment broken in JupyterLab
- Improve the efficiency of generating exponential random variables.
- Calling vectorize with parallel target inside njit
- Add Dataclasses support
- Fancy Indexing for `DeviceNDArray`
- Issue with using `overload` on a vectorized function
- Support time functions like `time.time()`
- Runtime control of environment variables (especially for Jupyter notebooks)
- Docs
- Python not yet supported