numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Add ability to link CUDA functions with in-memory PTX.
- CUDA crashes when passed complex record array
- CUDA target respect NUMBA_OPT environment variable
- overload_methoded function shouldn't set `no_cpython_wrapper` as `False`
- How about unifying `int32` and `Literal[int](0)` as `int32`, rather than `int64`
- Remove unused recompilation for the same function and same signature
- [numba.cuda] StructModel + FP16 fails with CUDA because make_attribute_wrapper assumes default_manager
- No matching implimentation for `np.empty` in guvectorized function with `NUMBA_DISABLE_JIT=1` and related caching issue
- Overloaded function is compiled more than once with the same signature
- Fill out `python -m numba -s` field for `CUDA Libraries Test Output` (even if GPU is absent)
- Docs
- Python not yet supported