ADD file via upload

step4.c

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+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h> 
+#include <arm_neon.h>
+
+void matmul_optimized(float** A, float** B, float** C, int n) {
+  int i,j,k;
+  for (i = 0; i < n; i++) {
+    for (j = 0; j < n; j++) {
+      float32x4_t vecC = vdupq_n_f32(0.0f); 
+      for (k = 0; k < n; k += 4) {
+        float32x4_t vecA = vld1q_f32(&A[i][k]);
+        float32x4_t vecB = vld1q_f32(&B[k][j]);
+        vecC = vmlaq_f32(vecC, vecA, vecB); 
+      }
+      C[i][j] = vgetq_lane_f32(vecC, 0) + vgetq_lane_f32(vecC, 1) +
+           vgetq_lane_f32(vecC, 2) + vgetq_lane_f32(vecC, 3);
+    }
+  }
+}
+int main() {
+  int i,j;
+  int n = 1024; 
+  float** A = (float**)malloc(n * sizeof(float*));
+  float** B = (float**)malloc(n * sizeof(float*));
+  float** C = (float**)malloc(n * sizeof(float*));
+  for (i = 0; i < n; i++) {
+    A[i] = (float*)malloc(n * sizeof(float));
+    B[i] = (float*)malloc(n * sizeof(float));
+    C[i] = (float*)calloc(n, sizeof(float)); 
+  }
+  srand(time(NULL));
+  for (i = 0; i < n; i++) {
+    for (j = 0; j < n; j++) {
+      A[i][j] = (float)(rand() % 100) / 100.0f;
+      B[i][j] = (float)(rand() % 100) / 100.0f;
+    }
+  }
+
+  clock_t start = clock();
+  matmul_optimized(A, B, C, n);
+  clock_t end = clock();
+  double time_taken = (double)(end - start) / CLOCKS_PER_SEC;
+  printf("Optimized matrix multiplication time: %f seconds\n", time_taken);
+  for (int i = 0; i < n; i++) {
+    free(A[i]);
+    free(B[i]);
+    free(C[i]);
+  }
+  free(A);
+  free(B);
+  free(C);
+
+  return 0;
+}