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59 lines
1.4 KiB
59 lines
1.4 KiB
#include <arm_neon.h>
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#include <stdio.h>
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#include <time.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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int main() {
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int n = SIZE;
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// 分配内存空间
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float** A = (float**)malloc(sizeof(float*) * n);
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float** B = (float**)malloc(sizeof(float*) * n);
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float** C = (float**)malloc(sizeof(float*) * n);
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int i, j;
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for(i=0; i<n; i++) {
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A[i] = (float*)malloc(sizeof(float) * n);
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B[i] = (float*)malloc(sizeof(float) * n);
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C[i] = (float*)malloc(sizeof(float) * n);
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}
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// 随机化
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srand(time(0));
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for(i=0; i<n; i++)
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for(j=0; j<n; 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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// 计算并计时
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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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printf("使用 NEON 优化稠密矩阵乘法时间：%lf\n", (double)(end-start) / CLOCKS_PER_SEC);
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// 释放内存空间
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for(i=0; i<n; 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); free(B); free(C);
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}
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void matmul_optimized(float** A, float** B, float** C, int n) {
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int i, j, k;
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float32x4_t vecA, vecB, vecC;
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for(i=0; i<n; i++)
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for(j=0; j<n; j++) {
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vecC = vdupq_n_f32(0.0);
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for(k=0; k<n; k+=4) {
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vecA = vld1q_f32(&A[i][k]);
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vecB = vld1q_f32(&A[k][j]);
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vecC = vmlaq_f32(vecC, vecA, vecB);
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}
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C[i][j] = vgetq_lane_f32(vecC, 0) + vgetq_lane_f32(vecC, 1) +
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vgetq_lane_f32(vecC, 2) + vgetq_lane_f32(vecC, 3);
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}
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} |