输入 • 二维矩阵 • 卷积核 • 计算次数N • 进行N次卷积计算 输出 结果矩阵 c语音代码 需要多线程并行计算
时间: 2023-05-31 09:05:30 浏览: 49
以下是C语言的多线程并行卷积计算示例代码:
#include <stdio.h>
#include <stdlib.h>
#include <pthread.h>
#define MAX_THREADS 8 // 最大线程数
#define MAX_SIZE 1000 // 最大矩阵大小
typedef struct {
int row_start; // 子矩阵起始行
int row_end; // 子矩阵结束行
int col_start; // 子矩阵起始列
int col_end; // 子矩阵结束列
int kernel_size; // 卷积核大小
int** matrix; // 输入矩阵
int** kernel; // 卷积核
int** result; // 输出矩阵
} thread_args;
void* convolve(void* args) {
thread_args* t_args = (thread_args*) args;
int row_start = t_args->row_start;
int row_end = t_args->row_end;
int col_start = t_args->col_start;
int col_end = t_args->col_end;
int kernel_size = t_args->kernel_size;
int** matrix = t_args->matrix;
int** kernel = t_args->kernel;
int** result = t_args->result;
for (int i = row_start; i <= row_end; i++) {
for (int j = col_start; j <= col_end; j++) {
int sum = 0;
for (int k = 0; k < kernel_size; k++) {
for (int l = 0; l < kernel_size; l++) {
int row = i - kernel_size / 2 + k;
int col = j - kernel_size / 2 + l;
if (row >= 0 && row < MAX_SIZE && col >= 0 && col < MAX_SIZE) {
sum += matrix[row][col] * kernel[k][l];
}
}
}
result[i][j] = sum;
}
}
pthread_exit(NULL);
}
int main() {
int matrix[MAX_SIZE][MAX_SIZE];
int kernel[MAX_SIZE][MAX_SIZE];
int result[MAX_SIZE][MAX_SIZE];
int size, kernel_size, num_threads;
printf("请输入矩阵大小(1-%d):", MAX_SIZE);
scanf("%d", &size);
printf("请输入卷积核大小(1-%d):", MAX_SIZE);
scanf("%d", &kernel_size);
printf("请输入线程数(1-%d):", MAX_THREADS);
scanf("%d", &num_threads);
printf("请输入矩阵元素(%d行%d列):\n", size, size);
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
scanf("%d", &matrix[i][j]);
}
}
printf("请输入卷积核元素(%d行%d列):\n", kernel_size, kernel_size);
for (int i = 0; i < kernel_size; i++) {
for (int j = 0; j < kernel_size; j++) {
scanf("%d", &kernel[i][j]);
}
}
// 初始化结果矩阵为0
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
result[i][j] = 0;
}
}
// 计算每个线程需要处理的子矩阵大小
int chunk_size = size / num_threads;
int extra_rows = size % num_threads;
pthread_t threads[num_threads];
thread_args args[num_threads];
// 创建线程并分配任务
for (int i = 0; i < num_threads; i++) {
int row_start = i * chunk_size;
int row_end = (i + 1) * chunk_size - 1;
if (i == num_threads - 1) {
row_end += extra_rows;
}
args[i].row_start = row_start;
args[i].row_end = row_end;
args[i].col_start = 0;
args[i].col_end = size - 1;
args[i].kernel_size = kernel_size;
args[i].matrix = matrix;
args[i].kernel = kernel;
args[i].result = result;
pthread_create(&threads[i], NULL, convolve, (void*) &args[i]);
}
// 等待所有线程完成任务
for (int i = 0; i < num_threads; i++) {
pthread_join(threads[i], NULL);
}
// 输出结果矩阵
printf("卷积结果:\n");
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
printf("%d ", result[i][j]);
}
printf("\n");
}
return 0;
}
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