Re: [Numpy-discussion] Linking against MKL but still slow?

Thanks for your response, David. > What do you mean by own extensions to NumPy ? If you mean building > extensions against the C API of NumPy, then you don't need to build your own > NumPy. Building NumPy with Intel Compilers and MKL is a non-trivial process, > so I would rather avoid it. I want to

[Numpy-discussion] Linking against MKL but still slow?

Dear list, so far I used Enthoughts Python Distribution which contains a compiled version of numpy linked against MKL. Now, I want to implement my own extensions to numpy, so I need my build numpy on my own. So, I installed Intel Parallel studio including MKL and the C / Fortran compilers. I l

[Numpy-discussion] Linking against MKL but still slow?

Dear list, so far I used Enthoughts Python Distribution which contains a compiled version of numpy linked against MKL. Now, I want to implement my own extensions to numpy, so I need my build numpy on my own. So, I installed Intel Parallel studio including MKL and the C / Fortran compilers. I link