numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Typed dict throws KeyError when keys contain any UTF-8 character ends with `\xb8\x80`
- math.nextafter for cuda
- @stencil(func_or_mode='circular')
- Fix aliasing issues with fusion.
- numpy.random.binomial(n) is O(n) with numba instead of O(1)
- Standard container like C+ STL
- Wrong list result with parallel=True despite no resizing and no cross-thread access of the list
- CUDA - Inline literal in (...) statements
- CUDA: Error handling variables not added to the `@llvm.used` list
- Support for Advanced Numpy dtypes
- Docs
- Python not yet supported