diff --git a/step6.c b/step6.c
new file mode 100644
index 0000000..0daf89e
--- /dev/null
+++ b/step6.c
@@ -0,0 +1,39 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+#include <arm_neon.h>
+#define SIZE 1024 
+#define BLOCK_SIZE 4 
+void matmul_optimized(float** A, float** B, float** C, int n) {
+    for (int i = 0; i < n; i += BLOCK_SIZE) {
+        for (int j = 0; j < n; j += BLOCK_SIZE) {
+            float32x4_t vecC[BLOCK_SIZE][BLOCK_SIZE] = {0}; 
+            for (int k = 0; k < n; k += BLOCK_SIZE) {
+                for (int ii = 0; ii < BLOCK_SIZE && i + ii < n; ii++) {
+                    for (int jj = 0; jj < BLOCK_SIZE && k + jj < n; jj++) {
+                        float32x4_t vecA = vld1q_f32(&A[i + ii][k]);
+                        float32x4_t vecB = vld1q_f32(&B[k + jj][j]);
+                        for (int l = 0; l < BLOCK_SIZE && j + l < n; l++) {
+                            vecC[ii][l] = vmlaq_f32(vecC[ii][l], vecA, vecB);
+                            vecB = vld1q_f32(&B[k + jj][j + BLOCK_SIZE + l]); 
+                        }
+                    }
+                }
+            }
+            for (int ii = 0; ii < BLOCK_SIZE && i + ii < n; ii++) {
+                for (int jj = 0; jj < BLOCK_SIZE && j + jj < n; jj++) {
+                    vst1q_f32(&C[i + ii][j + jj], vecC[ii][jj]);
+                }
+            }
+        }
+    }
+}
+void sparse_to_dense(SparseMatrix* sparse, float denseMatrix[ROWS][COLS], int rows, int cols) {
+    memset(denseMatrix, 0, sizeof(float) * rows * cols); 
+    for (int i = 0; i < sparse->num_elements; i++) {
+        int row = sparse->elements[i].row;
+        int col = sparse->elements[i].col;
+        float value = sparse->elements[i].value;
+        denseMatrix[row][col] = value;
+    }
+}