calculate norm - 1st commit

mean_shift_cuda/meanshift_gpu_utils.cu

@@ -133,20 +133,23 @@ int meanshift(double **original_points, double ***shifted_points, int deviation)
     }
 
     // calculates norm of the new mean shift vector in GPU using "cuBlas" library function
-    cublasHandle_t handle;
-    cublasStatus_t cublas_status = cublasCreate(&handle);
-    if (cublas_status != CUBLAS_STATUS_SUCCESS){
-        exit(cublas_status);
-    }
-    cublas_status = cublasDnrm2(handle, NUMBER_OF_POINTS * DIMENSIONS, d_mean_shift_vector.elements,
-        1, &current_norm);
-    if (cublas_status != CUBLAS_STATUS_SUCCESS){
-        exit(cublas_status);
-    }
-    cublas_status = cublasDestroy(handle);
-    if (cublas_status != CUBLAS_STATUS_SUCCESS){
-        exit(cublas_status);
-    }
+    // TODO REPLACE WITH KERNEL NORM
+//    cublasHandle_t handle;
+//    cublasStatus_t cublas_status = cublasCreate(&handle);
+//    if (cublas_status != CUBLAS_STATUS_SUCCESS){
+//        exit(cublas_status);
+//    }
+//    cublas_status = cublasDnrm2(handle, NUMBER_OF_POINTS * DIMENSIONS, d_mean_shift_vector.elements,
+//        1, &current_norm);
+//    if (cublas_status != CUBLAS_STATUS_SUCCESS){
+//        exit(cublas_status);
+//    }
+//    cublas_status = cublasDestroy(handle);
+//    if (cublas_status != CUBLAS_STATUS_SUCCESS){
+//        exit(cublas_status);
+//    }
+    calculate_norm(d_mean_shift_vector, &current_norm);
+
 
     if (params.verbose){
         printf("Recursion n. %d, error\t%f \n", recursion, current_norm);
@@ -296,8 +299,8 @@ void calculate_denominator(Matrix d_kernel_matrix, Matrix d_denominator){
 
 void shift_points(Matrix d_kernel_matrix, Matrix d_original_points, Matrix d_shifted_points,
                   Matrix d_new_shift, Matrix d_denominator, Matrix d_mean_shift_vector, double **kernel_matrix,
-    double **original_points, double ***new_shift, double ***mean_shift_vector,
-    double *w_memcpy_time){
+                  double **original_points, double ***new_shift,
+                  double ***mean_shift_vector, double *w_memcpy_time){
     int size;
     static bool first_iter = true;
     // gets max block size supported from the device
@@ -346,6 +349,41 @@ void shift_points(Matrix d_kernel_matrix, Matrix d_original_points, Matrix d_shi
         / 1.0e6 + end_w_time.tv_sec - start_w_time.tv_sec);
 }
 
+void calculate_norm(Matrix d_mean_shift_vector, double *current_norm){
+    int size;
+    static bool first_iter = true;
+    // gets max block size supported from the device
+    static int max_block_size = device_properties.maxThreadsPerBlock;
+    static int requested_block_size = (int)(max_block_size / d_mean_shift_vector.width);
+    bool block_size_too_big = true;
+
+    dim3 dimBlock;
+    dim3 dimGrid;
+    do {
+        dimBlock.x = requested_block_size;
+        dimBlock.y = d_mean_shift_vector.width;
+        dimGrid.x = (d_mean_shift_vector.height + dimBlock.x - 1) / dimBlock.x;
+        dimGrid.y = 1;
+
+        norm<<<dimGrid, dimBlock>>>(d_mean_shift_vector, &current_norm);
+        if (cudaGetLastError() != cudaSuccess){
+            --requested_block_size;
+        } else {
+            block_size_too_big = false;
+            gpuErrchk( cudaDeviceSynchronize() );
+        }
+    } while(block_size_too_big);
+
+    if (first_iter && params.verbose){
+        printf("norm_kernel called with:\n");
+        printf("dimBlock.x = %d, dimBlock.y = %d\n", dimBlock.x, dimBlock.y);
+        printf("dimGrid.x = %d, dimGrid.y = %d\n\n", dimGrid.x, dimGrid.y);
+        first_iter = false;
+    }
+
+    size = NUMBER_OF_POINTS * DIMENSIONS * sizeof(double);
+}
+
 void free_device_memory(Matrix d_original_points, Matrix d_kernel_matrix, Matrix d_denominator,
     Matrix d_shifted_points){
     // frees all memory previously allocated in device

mean_shift_cuda/meanshift_gpu_utils.h

@@ -51,6 +51,10 @@ void shift_points(Matrix d_kernel_matrix, Matrix d_original_points, Matrix d_shi
     double **original_points, double ***new_shift, double ***mean_shift_vector,
     double *w_memcpy_time);
 
+//Function calculate_norm is a wrapper for the kernel call of the corresponing kernel
+//"norm" that calculate the norm of the mean_shift_vector matrix
+void calculate_norm(Matrix d_mean_shift_vector, double *current_norm);
+
 //Function free_device_memory frees device's previously allocated memory
 void free_device_memory(Matrix d_original_points, Matrix d_kernel_matrix, Matrix d_denominator,
     Matrix d_shifted_points);