numba/numba — pull request #465 by sklam (2014-06-03 20:52:58+00:00)
Title: Backend improvements

Most of the changes are improvements and fixes to the CUDA backend.

Changes to https://github.com/numba/numba/blob/ad7a67bd798d23d7c6859595a23e4c46b58743eb/numba/npyufunc/wrappers.py is to make the ufunc CPU backend generates SIMD code. It now generates a fast loop and a slow loop. The fast loop is used if the array is unit-strided (dtype.itemsize == stride). This allows LLVM to use loop-vectorization.