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57 lines
1.6 KiB
57 lines
1.6 KiB
#include <stdio.h>
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#include <time.h>
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#include <arm_neon.h>
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#include <stdlib.h>
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#define SIZE 1024
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void matmul_optimized(float** A, float** B, float** C, int n) {
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for (int i = 0; i < n; i++) {
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for (int j = 0; j < n; j++) {
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float32x4_t sum = vdupq_n_f32(0);
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for (int k = 0; k < n; k += 4) {
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float32x4_t vecA = vld1q_f32(&A[i][k]);
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float32x4_t vecB = vld1q_f32(&B[k][j]);
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sum = vmlaq_f32(sum, vecA, vecB);
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}
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C[i][j] = vgetq_lane_f32(sum, 0) + vgetq_lane_f32(sum, 1) + vgetq_lane_f32(sum, 2) + vgetq_lane_f32(sum, 3); // 提取结果
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}
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}
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}
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int main() {
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float** A = (float**)malloc(SIZE * sizeof(float*));
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float** B = (float**)malloc(SIZE * sizeof(float*));
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float** C = (float**)malloc(SIZE * sizeof(float*));
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for (int i = 0; i < SIZE; i++) {
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A[i] = (float*)malloc(SIZE * sizeof(float));
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B[i] = (float*)malloc(SIZE * sizeof(float));
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C[i] = (float*)malloc(SIZE * sizeof(float));
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}
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for (int i = 0; i < SIZE; i++) {
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for (int j = 0; j < SIZE; j++) {
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A[i][j] = rand() % 100;
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B[i][j] = rand() % 100;
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}
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}
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clock_t start = clock();
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matmul_optimized(A, B, C, SIZE);
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clock_t end = clock();
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double time_taken = (double)(end - start) / CLOCKS_PER_SEC;
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printf("优化后的稠密矩阵乘法: %f seconds\n", time_taken);
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for (int i = 0; i < SIZE; i++) {
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free(A[i]);
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free(B[i]);
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free(C[i]);
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}
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free(A);
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free(B);
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free(C);
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return 0;
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}
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