On 11/03/15 23:20, Dp Docs wrote: > So we are supposed to integrate just one of these libraries?
As a Mac user I would be annoyed if we only supported MKL and not Accelerate Framework. AMD LibM should be supported too. MKL is non-free, but we use it for BLAS and LAPACK. AMD LibM is non-free in a similar manner. Acelerate Framework (vecLib) is a part of Apple's operating systems. You can abstract out the differences. Eigen is C++. We do not use C++ in NumPy, only C, Python and some Cython. C++ and Fortran can be used in SciPy, but not in NumPy. Apple's reference is here: https://developer.apple.com/library/mac/documentation/Performance/Conceptual/vecLib/index.html AMD's information is here: http://developer.amd.com/tools-and-sdks/cpu-development/libm/ (Vector math functions seem to be moved from ACML to LibM) Intel's reference is here: https://software.intel.com/sites/products/documentation/doclib/iss/2013/mkl/mklman/GUID-59EC4B87-29C8-4FB4-B57C-D269E6364954.htm Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
