On Thu, 24 May 2012 09:54:15 +1200, Igor <rych...@gmail.com> wrote: > From within Python, you can make a string containing your C++ code > that uses thrust, save it to file, invoke nvcc to build it as a > library. Then use ctypes to load it and get the handle to the > function. > > The function can accept a device pointer. Then, suppose you've done > some work using PyCUDA. Get the GPU pointer and pass it to the > function -- no memory copying occurs here. Call the function letting > thrust do its stuff inside there and the output can be a device > pointer again or whatever. > > That's the way I combine the two great libraries PyCUDA and thrust. > Tell me if it sounds suitable and I'll send you an example.
If you wouldn't mind contributing an example for the wiki, I'd be very happy to add it. :) Andreas
pgprAjX7j3DM7.pgp
Description: PGP signature
_______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
