On Fri, Mar 28, 2014 at 8:01 PM, Sturla Molden <sturla.mol...@gmail.com> wrote: > Matthew Brett <matthew.br...@gmail.com> wrote: > >> So - is Eigen our best option for optimized blas / lapack binaries on >> 64 bit Windows? > > Maybe not: > > http://gcdart.blogspot.de/2013/06/fast-matrix-multiply-and-ml.html > > With AVX the difference is possibly even larger.
But if we rule out closed-source BLAS, and we rule out OpenBLAS because of our distrusting its accuracy, and we aren't going to recompile ATLAS on every machine, then Eigen is the only library they tested that is even an option for us. It would be nice to see some comparison between our actual options -- Eigen, generically compiled ATLAS, anything else? -- Nathaniel J. Smith Postdoctoral researcher - Informatics - University of Edinburgh http://vorpus.org _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
