fix : kernel matrix missing data

src/change.c

-#include <stdio.h>
-int main() {
-   const int x = 10; //define constant int
-   int *ptr;
-   printf("x = %d\n", x);
-   ptr = &x; //ptr points the variable x
-   *ptr = 15; //Updating through pointer
-   printf("x = %d\n", x);
-}
\ No newline at end of file

src/parallel.c

@@ -292,6 +292,7 @@ int main() {
 	
 	// reads kernel's row and column and initalize kernel matrix from input
 	scanf("%d %d", &kernel_row, &kernel_col);
+    // Matrix* kernel = (Matrix*)malloc(num_targets * sizeof(Matrix));
 	Matrix kernel = input_matrix(kernel_row, kernel_col);
 	
 	// reads number of target matrices and their dimensions.
@@ -357,38 +358,9 @@ int main() {
 
     */ 
 
-
-
-
     int root = 0;
 
-	if (world_rank == root) {
-			// If we are the root process, send our data to every process
-            int i;
-            for (i = 0; i < world_size; i++) {
-                if (i != world_rank) {
-                    MPI_Send(&arr_mat[counter_distribute], 1, mat_MPI, i, 0, MPI_COMM_WORLD);
-                    counter_distribute++;
-                }
-            }
-            print_matrix(&kernel);
-			printf("PRocess 0 distribute\n ");
-			
-		} else {
-			printf("PRocess selain 0  distribute %d \n", world_rank);
-			// If we are a receiver process, receive the data from the root
-            Matrix recv_data;
-            MPI_Recv(&recv_data, 1, mat_MPI, root, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
-            print_matrix(&recv_data);
-
-			printf("HASILLL\n");
-			arr_mat2[counter_receiver] = convolution(&m, &recv_data);
-            
-            print_matrix(&arr_mat2[counter_receiver]);
-			arr_range[counter_receiver] = get_matrix_datarange(&arr_mat2[counter_receiver]);
 
-			counter_receiver++;
-		}
 
     while (counter_distribute < PING_PONG_LIMIT){
         // distribute(arr_mat[counter_distribute],1,mat_MPI,0, MPI_COMM_WORLD)
@@ -398,31 +370,23 @@ int main() {
             int i;
             for (i = 0; i < world_size; i++) {
                 if (i != world_rank) {
-                    MPI_Send(&arr_mat[counter_distribute], 1, mat_MPI, i, 0, MPI_COMM_WORLD);
+                    MPI_Send(&arr_mat[counter_distribute], 1, mat_MPI, i, 1, MPI_COMM_WORLD);
+                    MPI_Send(&kernel, 1, mat_MPI, i, 0, MPI_COMM_WORLD);
                     counter_distribute++;
                 }
             }
-            print_matrix(&kernel);
-			printf("PRocess 0 distribute\n ");
 			
 		} else {
-			printf("PRocess selain 0  distribute %d \n", world_rank);
 			// If we are a receiver process, receive the data from the root
             Matrix recv_data;
-            MPI_Recv(&recv_data, 1, mat_MPI, root, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
+            MPI_Recv(&recv_data, 1, mat_MPI, root, 1, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
+            Matrix kernel_recv;
+            MPI_Recv(&kernel_recv, 1, mat_MPI, root, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
             print_matrix(&recv_data);
-            Matrix m;
-            m.row_eff = 2;
-            m.col_eff = 2;
-
-            m.mat[0][0] = 1;
-            m.mat[0][1] = 0;
-            m.mat[1][0] = 0;
-            m.mat[1][1] = -1;
-            print_matrix(&m);
+            print_matrix(&kernel_recv);
 
 			printf("HASILLL\n");
-			arr_mat2[counter_receiver] = convolution(&m, &recv_data);
+			arr_mat2[counter_receiver] = convolution(&kernel_recv, &recv_data);
             
             print_matrix(&arr_mat2[counter_receiver]);
 			arr_range[counter_receiver] = get_matrix_datarange(&arr_mat2[counter_receiver]);