Better way to get neighborhood on image2d_t?

Accelerated Computing CUDA CUDA Programming and Performance
1

Hello guys, I have a kernel to manipulate a image, I’m using image2D to do it and I need to get the neighborhood pixels of the actual pixel, the way i figured out to do it was this way:

float4 b1, b2, b3, b4, b5, b6, b7, b8, b9;

  b1 = read_imagef(buffer, sampler, (x - 1, y - 1));

  b2 = read_imagef(buffer, sampler, (x, y - 1));

  b3 = read_imagef(buffer, sampler, (x + 1, y - 1));

  b4 = read_imagef(buffer, sampler, (x - 1, y));

  b5 = read_imagef(buffer, sampler, (x, y));

  b6 = read_imagef(buffer, sampler, (x + 1, y));

  b7 = read_imagef(buffer, sampler, (x - 1, y + 1));

  b8 = read_imagef(buffer, sampler, (x, y + 1));

  b9 = read_imagef(buffer, sampler, (x + 1, y + 1));

this way i have 9 float4 variables making an kernel 3x3, but I wonder if there is a more efficient way to do it, I’m open to ideas.

ps: for border I’m using CLK_ADDRESS_CLAMP_TO_EDGE

Thanks!