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. Igor On Wed, May 23, 2012 at 7:58 AM, Apostolis Glenis <apostglen46(a)gmail.com> wrote: