[Numpy-discussion] C-coded dot 1000x faster than numpy?

[David Menéndez Hurtado]

On Tue, 23 Feb 2021, 7:41 pm Roman Yurchak, <rth.yurchak at gmail.com> wrote:

> For the first benchmark apparently A.dot(B) with A real and B complex is
> a known issue performance wise https://github.com/numpy/numpy/issues/10468


I splitted B into a vector of size (N, 2) for the real and imaginary part,
and that makes the multiplication twice as fast.


My configuration (also in Fedora 33) np.show_config()


blas_mkl_info:
  NOT AVAILABLE
blis_info:
  NOT AVAILABLE
openblas_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
blas_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_mkl_info:
  NOT AVAILABLE
openblas_lapack_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
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