Apart from float and double, which floating point formats are supported by numpy?
On Thu, Sep 10, 2009 at 7:09 PM, Bruce Southey <bsout...@gmail.com> wrote: > On 09/10/2009 07:40 AM, Francesc Alted wrote: > > A Thursday 10 September 2009 14:36:16 Rohit Garg escrigué: > >> > That's nice to see. I think I'll change my mind if someone could perform > >> > a vector-vector multiplication (a operation that is typically > >> > memory-bounded) > >> > >> You mean a dot product? > > Whatever, dot product or element-wise product. Both are memory-bounded. > > -- > > Francesc Alted > > As Francesc previous said, these need to be at least in double precision and > really it should also be in all the floating point precisions used by numpy > on supported platforms. Based on the various boinc project comments, many > graphics cards do not natively support double precision so you can get an > inflated speedup just because of the difference in precision. > > Bruce > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- Rohit Garg http://rpg-314.blogspot.com/ Senior Undergraduate Department of Physics Indian Institute of Technology Bombay _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion