Hi, I want to run element-wise computations on different parts of an array. Loading each part of the array to device mem when needed turned out to use up a lot of time and not really speed things up compared to cpu. Instead, I want to once load the data array into device mem and provide pointers to which elements to look at (I do have the numpy view/slice of the array). I looked into different ways of doing this but can't seem to find the right approach, any help would be appreciated.
ElementwiseKernel seems to support range and slicing now, however, my code is (cuda) c and I import it as a SourceModule which probably means I can't use the ElementwiseKernel approach. -Thomas _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
