It's also a basic implementation, doing a divide per sample to renormalize and not taking advantage of the symmetry of the kernel.
Even on a GPU, you wouldn't use an algorithm this simple in production. For small radii, leveraging bilinear filtering halves the number of samples. For larger radii, hierarchical pyramid approximations are popular.
Even on a GPU, you wouldn't use an algorithm this simple in production. For small radii, leveraging bilinear filtering halves the number of samples. For larger radii, hierarchical pyramid approximations are popular.