diff --git a/6 b/6
deleted file mode 100644
index 167b45a..0000000
--- a/6
+++ /dev/null
@@ -1,129 +0,0 @@
-#include <stdio.h>
-#include <stdlib.h>
-#include <ctime>
-
-#include <arm_neon.h>
-
-#define ROWS 1024  
-#define COLS 1024  
-
-
-void sparseToDense(float* values, int* rowIndex, int* colIndex, int nonZeroCount, float denseMatrix[ROWS][COLS]) {
-    
-    for (int i = 0; i < ROWS; i++) {
-        for (int j = 0; j < COLS; j++) {
-            denseMatrix[i][j] = 0;
-        }
-    }
-
-    
-    for (int k = 0; k < nonZeroCount; k++) {
-        int row = rowIndex[k];
-        int col = colIndex[k];
-        float value = values[k];
-        denseMatrix[row][col] = value;
-    }
-}
-
-
-void matmul_optimized(float** A, float** B, float** C, int n) {
-    for (int i = 0; i < n; i++) {
-        for (int j = 0; j < n; j++) {
-            float32x4_t vecC = vdupq_n_f32(0); 
-            for (int 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() {
-
-    float A_values[] = {1, 2, 3};
-    int A_rowIndex[] = {0, 1, 2};
-    int A_colIndex[] = {0, 1, 2};
-    int A_nonZeroCount = 3;
-
-
-    float B_values[] = {4, 5, 6};
-    int B_rowIndex[] = {0, 1, 2};
-    int B_colIndex[] = {0, 1, 2};
-    int B_nonZeroCount = 3;
-
-
-    float denseMatrixA[ROWS][COLS];
-
-    float denseMatrixB[ROWS][COLS];
-
-    float resultMatrix[ROWS][COLS];
-
-
-    sparseToDense(A_values, A_rowIndex, A_colIndex, A_nonZeroCount, denseMatrixA);
-    
-    printf("常规矩阵A：\n");
-    for (int i = 0; i < ROWS; i++) {
-        for (int j = 0; j < COLS; j++) {
-            printf("%f ", denseMatrixA[i][j]);
-        }
-        printf("\n");
-    }
-
-
-    sparseToDense(B_values, B_rowIndex, B_colIndex, B_nonZeroCount, denseMatrixB);
-   
-    printf("常规矩阵B：\n");
-    for (int i = 0; i < ROWS; i++) {
-        for (int j = 0; j < COLS; j++) {
-            printf("%f ", denseMatrixB[i][j]);
-        }
-        printf("\n");
-    }
-
-
-    float* matrixAPtr[ROWS];
-    for (int i = 0; i < ROWS; i++) {
-        matrixAPtr[i] = denseMatrixA[i];
-    }
-    float* matrixBPtr[ROWS];
-    for (int i = 0; i < ROWS; i++) {
-        matrixBPtr[i] = denseMatrixB[i];
-    }
-    float* resultMatrixPtr[ROWS];
-    for (int i = 0; i < ROWS; i++) {
-        resultMatrixPtr[i] = resultMatrix[i];
-    }
-
-    clock_t start_time, end_time;
-
-    start_time = clock();
-
- 
-    matmul_optimized((float**)matrixAPtr, (float**)matrixBPtr, (float**)resultMatrixPtr, ROWS);
-
-
-    end_time = clock();
-
-
-    double elapsed_time = ((double)(end_time - start_time)) / CLOCKS_PER_SEC;
-    printf("优化的稀疏矩阵乘法（使用NEON）的运行时间：%f 秒\n", elapsed_time);
-
-
-    printf("结果矩阵：\n");
-    for (int i = 0; i < ROWS; i++) {
-        for (int j = 0; j < COLS; j++) {
-            printf("%f ", resultMatrix[i][j]);
-        }
-        printf("\n");
-    }
-
-    return 0;
-}
\ No newline at end of file