> It's a double-edged sword, IMO. The simple-small-modular approach has > obvious maintainability advantages. On the other hand, an integrated > package is more convenient to install and depend on. I'll leave this up > to you to decide.
I would be in favor of the integration of pycudafft into pycuda mainstream with the Mako dependency. I think this would make pycuda even more attractive and help people integrate BLAS, etc. What do you think? N > > For now, I've added a link to pycudafft to the docs: > http://documen.tician.de/pycuda/array.html#fast-fourier-transforms > > Andreas > > > _______________________________________________ > PyCUDA mailing list > [email protected] > http://host304.hostmonster.com/mailman/listinfo/pycuda_tiker.net > > -- Nicolas Pinto Ph.D. Candidate, Brain & Computer Sciences Massachusetts Institute of Technology, USA http://web.mit.edu/pinto _______________________________________________ PyCUDA mailing list [email protected] http://host304.hostmonster.com/mailman/listinfo/pycuda_tiker.net
