diff --git a/vector_matmul_2.c b/vector_matmul_2.c
new file mode 100644
index 0000000..9de4717
--- /dev/null
+++ b/vector_matmul_2.c
@@ -0,0 +1,162 @@
+#define _CRT_SECURE_NO_WARNINGS
+#include <stdio.h>  
+#include <stdlib.h>  
+#include <arm_neon.h>  
+#include <time.h>  
+
+#define ROWS 4  
+#define COLS 4  
+
+typedef struct {
+    float* values;
+    int* rowIndex;
+    int* colIndex;
+    int nonZeroCount;
+} SparseMatrix;
+
+SparseMatrix* createSparseMatrix(int nonZeroCount) {
+    SparseMatrix* matrix = (SparseMatrix*)malloc(sizeof(SparseMatrix));
+    matrix->values = (float*)malloc(nonZeroCount * sizeof(float));
+    matrix->rowIndex = (int*)malloc(nonZeroCount * sizeof(int));
+    matrix->colIndex = (int*)malloc(nonZeroCount * sizeof(int));
+    matrix->nonZeroCount = nonZeroCount;
+    return matrix;
+}
+ 
+void freeSparseMatrix(SparseMatrix* matrix) {
+    free(matrix->values);
+    free(matrix->rowIndex);
+    free(matrix->colIndex);
+    free(matrix);
+}
+ 
+void sparseToDense(SparseMatrix* sparse, float dense[ROWS][COLS]) { 
+    for (int i = 0; i < ROWS; i++) {
+        for (int j = 0; j < COLS; j++) {
+            dense[i][j] = 0.0f;
+        }
+    }
+  
+    for (int i = 0; i < sparse->nonZeroCount; i++) {
+        int row = sparse->rowIndex[i];
+        int col = sparse->colIndex[i];
+        dense[row][col] = sparse->values[i];
+    }
+}
+ 
+void printDenseMatrix(float dense[ROWS][COLS]) {
+    for (int i = 0; i < ROWS; i++) {
+        for (int j = 0; j < COLS; j++) {
+            printf("%5.1f ", dense[i][j]);
+        }
+        printf("\n");
+    }
+}
+
+SparseMatrix* sparse_matmul(SparseMatrix* A, SparseMatrix* B) {
+    int maxNonZeroCount = A->nonZeroCount * B->nonZeroCount;
+    SparseMatrix* C = createSparseMatrix(maxNonZeroCount);
+    int count = 0;
+ 
+    for (int i = 0; i < A->nonZeroCount; i++) {
+        float aValue = A->values[i];
+        int aRow = A->rowIndex[i];
+        int aCol = A->colIndex[i];
+ 
+        for (int j = 0; j < B->nonZeroCount; j++) {
+            if (aCol == B->rowIndex[j]) {   
+                float bValue = B->values[j];
+                int bCol = B->colIndex[j];
+
+                int found = 0;
+                for (int k = 0; k < count; k++) {
+                    if (C->rowIndex[k] == aRow && C->colIndex[k] == bCol) {
+                        C->values[k] += aValue * bValue; 
+                        found = 1;
+                        break;
+                    }
+                }
+                if (!found) {
+                    C->values[count] = aValue * bValue;
+                    C->rowIndex[count] = aRow;
+                    C->colIndex[count] = bCol;
+                    count++;
+                }
+            }
+        }
+    }
+
+    C->nonZeroCount = count;
+
+    C->values = (float*)realloc(C->values, count * sizeof(float));
+    C->rowIndex = (int*)realloc(C->rowIndex, count * sizeof(int));
+    C->colIndex = (int*)realloc(C->colIndex, count * sizeof(int));
+
+    return C;
+}
+
+void neonSparseMatMul(SparseMatrix* A, SparseMatrix* B, float C[ROWS][COLS]) { 
+    for (int i = 0; i < ROWS; i++) {
+        for (int j = 0; j < COLS; j++) {
+            C[i][j] = 0.0f;
+        }
+    }
+ 
+    for (int i = 0; i < A->nonZeroCount; i++) {
+        float aValue = A->values[i];
+        int aRow = A->rowIndex[i];
+        int aCol = A->colIndex[i];
+
+        for (int j = 0; j < B->nonZeroCount; j++) {
+            if (aCol == B->rowIndex[j]) {
+                float bValue = B->values[j];
+                int bCol = B->colIndex[j];
+
+                float32x4_t cValue = vld1q_f32(&C[aRow][bCol]); 
+                cValue = vmlaq_n_f32(cValue, vdupq_n_f32(aValue), bValue); 
+                vst1q_f32(&C[aRow][bCol], cValue); 
+            }
+        }
+    }
+}
+
+int main() {
+    SparseMatrix* A = createSparseMatrix(4);
+    A->values[0] = 1.0; A->rowIndex[0] = 0; A->colIndex[0] = 0;
+    A->values[1] = 2.0; A->rowIndex[1] = 0; A->colIndex[1] = 2;
+    A->values[2] = 3.0; A->rowIndex[2] = 1; A->colIndex[2] = 1;
+    A->values[3] = 4.0; A->rowIndex[3] = 2; A->colIndex[3] = 0;
+ 
+    SparseMatrix* B = createSparseMatrix(4);
+    B->values[0] = 5.0; B->rowIndex[0] = 0; B->colIndex[0] = 1;
+    B->values[1] = 6.0; B->rowIndex[1] = 1; B->colIndex[1] = 2;
+    B->values[2] = 7.0; B->rowIndex[2] = 2; B->colIndex[2] = 0;
+    B->values[3] = 8.0; B->rowIndex[3] = 2; B->colIndex[3] = 1;
+ 
+    float C[ROWS][COLS];
+ 
+    clock_t start = clock();
+
+    neonSparseMatMul(A, B, C);
+ 
+    clock_t end = clock();
+    double time_taken = (double)(end - start) / CLOCKS_PER_SEC;  
+
+    float denseA[ROWS][COLS], denseB[ROWS][COLS];
+    sparseToDense(A, denseA);
+    sparseToDense(B, denseB);
+
+    printf("普通矩阵 A:\n");
+    printDenseMatrix(denseA);
+    printf("普通矩阵 B:\n");
+    printDenseMatrix(denseB);
+    
+    printf("稀疏矩阵乘法结果:\n");
+    printDenseMatrix(C);
+    printf("稀疏矩阵乘法运行时间: %f 秒\n", time_taken);
+
+    freeSparseMatrix(A);
+    freeSparseMatrix(B);
+
+    return 0;
+}
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