authParallelAndDistributedSystemsCourseExercise3/mean_shift_cuda/meanshift_kernels.cu

#include "meanshift_kernels.h"
#include <stdio.h>

__global__ void calculate_kernel_matrix_kernel(Matrix shifted_points, Matrix original_points,
    double deviation, Matrix kernel_matrix){
    // each thread calculates one element of kernel_matrix
    int row = blockIdx.x * blockDim.x + threadIdx.x;
    int col = blockIdx.y * blockDim.y + threadIdx.y;

    // performs calculations only if thread's indexes are within matrix bounds
    if (row * kernel_matrix.width + col >= kernel_matrix.width * kernel_matrix.height){
        return;
    }

    int dimensions = shifted_points.width;
    // calculate distance
    double sum = 0, dif;
    for (int i=0; i<dimensions; i++){
        dif = shifted_points.elements[row * dimensions + i] - original_points.elements[col * dimensions + i];
        sum += dif * dif;
    }
    double distance = sqrt(sum);

    double deviation_square = deviation*deviation;
    if (distance < deviation_square){
        // computes kernel matrix
        double pow = ((-1)*(distance * distance))/(2*(deviation_square));
        kernel_matrix.elements[row * kernel_matrix.width + col] = exp(pow);
    } else {
        kernel_matrix.elements[row * kernel_matrix.width + col] = 0;
    }
    if (row == col){
        kernel_matrix.elements[row * kernel_matrix.width + col] += 1;
    }
}

__global__ void shift_points_kernel(Matrix original_points, Matrix kernel_matrix, Matrix shifted_points,
    Matrix new_shift, Matrix denominator, Matrix mean_shift_vector){
    // each thread computes one element of new_shift
    // by accumulating results into cell_value
    double cell_value = 0;
    int row = blockIdx.x * blockDim.x + threadIdx.x;
    int col = blockIdx.y * blockDim.y + threadIdx.y;

    // performs calculations only if thread's indexes are within matrix bounds
    if (row * new_shift.width + col >= new_shift.width * new_shift.height){
        return;
    }

    // calculates new_shift
    // builds nominator by multiplying kernel_matrix and original_points
    for (int element_index = 0; element_index < kernel_matrix.width; ++element_index){
        cell_value += kernel_matrix.elements[row * kernel_matrix.width + element_index]
            * original_points.elements[element_index * original_points.width + col];
    }
    // new_shift elements are calculated by dividing with the denominator
    new_shift.elements[row * new_shift.width + col] =
        cell_value / denominator.elements[row];

    // calculates mean-shift vector
    mean_shift_vector.elements[row * new_shift.width + col] =
        new_shift.elements[row * new_shift.width + col] -
        shifted_points.elements[row * new_shift.width + col];
}

__global__ void denominator_kernel(Matrix denominator, Matrix kernel_matrix){
    // each thread computes one element of denominator_kernel
    // by accumulating results into cell_value
    double cell_value = 0;
    int row = blockIdx.x * blockDim.x + threadIdx.x;

    // performs calculations only if thread's indexes are within matrix bounds
    if (row >= denominator.height){
        return;
    }

    for (int column = 0; column < kernel_matrix.width; ++column){
         cell_value += kernel_matrix.elements[row * kernel_matrix.width + column];
    }
    denominator.elements[row] = cell_value;
}

__global__ double calcNorm(Matrix mean_shift_vector){
    float sum =0;
    for (int k=0; k< patchSize; k++){
        for (int l=0; l<patchSize; l++){
            sum+=(fNi(k,l)-fNj(k,l))*(fNi(k,l)-fNj(k,l))*H(k,l);
        }
    }
    return sum;
}