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cv::gpu::norm speed up

Hi all,

I use the function cv::gpu::norm in a program. This function gets called a lot. With CPU i get about 5 Hz, with GPU it's not usable (a couple of seconds). I suppose the problem is, that the matrices are very small (4x4 - 16x16), so that I can't really make use of the GPU's performance.

Just some background information: I use the norm function to calculate the radial basis function:

double calculateRBFresponse(boost::shared_ptr<cv::gpu::GpuMat> input, boost::shared_ptr<cv::gpu::GpuMat> neuron, double beta){

      double response = cv::gpu::norm(*input, *neuron, cv::NORM_L2);
      return cv::exp( -beta * cv::pow ( response, 2.0 ));

Is there any way to speed this up? Or is it - as i suppose - the wrong task for a GPU? Or is there maybe a way to parallelize the task, so that multiple norm calls are run in parallel?

Cheers, Andreas