TX2 gpu mem limit

I’m doing feature extraction for image with 640x480 size by OpenCV cuda on TX2.
It takes ~600M mem once I init gpu usage with code:

cv::Mat cpu_img = cv::Mat::zeros(640, 480, cv::8UC1);
cv::cuda::GpuMat gpu_img;

Besides, two thread gpu programs metioned above take ~600M X 2 memory resource.
I don’t think this task need so much mem resource.
So, my question is:

  1. How can I set gpu mem usage to a proper value which just enough for the task ?
  2. Can multi gpu thread share the same memory?
    Thank you!

The may be specific to using CUDA filters in OpenCV. We would suggest go to OpenCV forum for further help.

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