On Wed, Oct 21, 2009 at 2:14 PM, Pauli Virtanen <pav...@iki.fi<pav%2...@iki.fi> > wrote:
> Wed, 21 Oct 2009 14:47:02 +0200, Francesc Alted wrote: > [clip] > >> Do you have any interest in adding SIMD to some core numpy > >> (transcendental functions). If so, I would try to go back to the > >> problem of runtime SSE detection and loading of optimized shared > >> library in a cross-platform way - that's something which should be done > >> at some point in numpy, and people requiring it would be a good > >> incentive. > > > > I don't personally have a lot of interest implementing this for numpy. > > But in case anyone does, I find the next library: > > > > http://gruntthepeon.free.fr/ssemath/ > > > > very interesting. Perhaps there could be other (free) > > implementations... > > Optimized transcendental functions could be interesting. For example for > tanh, call overhead is overcome already for ~30-element arrays. > > Since these are ufuncs, I suppose the SSE implementations could just be > put in a separate module, which is always compiled. Before importing the > module, we could simply check from Python side that the CPU supports the > necessary instructions. If everything is OK, the accelerated > implementations would then just replace the Numpy routines. > > This type of project could probably also be started outside Numpy, and > just monkey-patch the Numpy routines on import. > > -- > Pauli Virtanen > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > Anyone seen the corepy numpy gsoc project? http://numcorepy.blogspot.com/ It implements a number of functions with the corepy runtime assembler. The project showed nice simd speedups for numpy. I've been following the liborc project... which is a runtime assembler that uses a generic assembly language and supports many different simd assembly languages (eg SSE, MMX, ARM, Altivec). It's the replacement for the liboil library (used in gstreamer etc). http://code.entropywave.com/projects/orc/ cu!
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion