numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- guvectorize does not check contiguity, breaks indexing
- Implement ndarray.byteswap
- Tuple of functions (with identical signature) does not compile for CUDA
- Structured array scalar slices: `iadd`, `isub`, etc, not able to compile (simple example code)
- debuginfo issues with parallel functions: file names are not identified
- New Type System/NumPy 2 support tracking
- Add type annotations for @intrinsic
- Some array methods much slower with non-C-order arrays
- CUDA: Providing a signature for a function reference when eagerly compiling does not work
- Add ability to @jit to disable auto-vectorization
- Docs
- Python not yet supported