Hi. I am working on numpy in pypy. It would be much more challenging for me if you merged more code into the core of numpy, that means even more must be duplicated when using a different underlying ndarray implementation. If you are thinking of touching linalg/lapack_lite/blas_lite, I would prefer a simpler model that uses ndarray as a simple storage container, does not use cpython-specifc capi extentions with reference counting, and interfaces with python via cffi[0]. Matti
[0] https://pypi.python.org/pypi/cffi/ On 8/08/2014 8:00 PM, numpy-discussion-requ...@scipy.org wrote: > Message: 1 > Date: Thu, 7 Aug 2014 20:32:21 -0600 > From: Charles R Harris <charlesr.har...@gmail.com> > Subject: [Numpy-discussion] OpenBLAS and dotblas > To: numpy-discussion <numpy-discussion@scipy.org> > Message-ID: > <cab6mnxjoon2tn2-yp8wsbwyqrhnoqee715tek6rggovtuaz...@mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > Hi All, > > It looks like numpy dot only uses BLAS if ATLAS is present, see > numpy/core/setup.py. Has anyone done the mods needed to use OpenBLAS? What > is the current status of using OpenBLAS with numpy? > > Also, I'm thinking of moving linalg/lapack_lite/blas_lite.c down into the > core. Thoughts? > > Chuck > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > http://mail.scipy.org/pipermail/numpy-discussion/attachments/20140807/848ccce2/attachment-0001.html > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
