I'm collaborating with some people on generating kernels for opencl and nvidia. Probably the big issue is not getting code that runs but finding the right systems that run faster, most code will actually slow down on a gpu. If people are really interested in this I can start pulling things back into the sympy repo.
I don't know which systems the quantum people are solving but my guess would be that it would be easier to grab some libraries that does dense linear algebra well rather than put a good generator in SymPy. If there was a description of the system that needs to be solved, I could spend some cycles helping people speed it up. -- Andy On Sun, Feb 13, 2011 at 1:12 PM, Vinzent Steinberg <[email protected]> wrote: > On 12 Feb., 16:43, william ratcliff <[email protected]> > wrote: >> One of our thoughts was that we should autogenerate C code that could be run >> on a GPU....I hope to be able to be able to explore this later in the year. > > This should be quite possible with a modified C printer and pyopencl > [1]. > > Vinzent > > > [1] http://mathema.tician.de/software/pyopencl > > -- > You received this message because you are subscribed to the Google Groups > "sympy" group. > To post to this group, send email to [email protected]. > To unsubscribe from this group, send email to > [email protected]. > For more options, visit this group at > http://groups.google.com/group/sympy?hl=en. > > -- You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/sympy?hl=en.
