并行编程快速排序代码
时间: 2023-10-14 18:31:40 浏览: 87
以下是一个并行编程的快速排序代码的例子:
```c
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
void quickSort(int* arr, int left, int right) {
if (left >= right) {
return;
}
int pivot = arr[left];
int i = left;
int j = right;
while (i < j) {
while (i < j && arr[j] >= pivot) {
j--;
}
arr[i] = arr[j];
while (i < j && arr[i] <= pivot) {
i++;
}
arr[j] = arr[i];
}
arr[i] = pivot;
#pragma omp parallel sections
{
#pragma omp section
{
quickSort(arr, left, i - 1);
}
#pragma omp section
{
quickSort(arr, i + 1, right);
}
}
}
int main() {
int arr[] = {10, 7, 8, 9, 1, 5};
int n = sizeof(arr) / sizeof(arr);
quickSort(arr, 0, n - 1);
printf("Sorted array: ");
for (int i = 0; i < n; i++) {
printf("%d ", arr[i]);
}
return 0;
}
```
这段代码使用了OpenMP进行并行编程。在`quickSort`函数中,先选择一个基准元素,然后根据基准将数组划分为两个子数组。然后使用`#pragma omp parallel sections`将排序左半部分和右半部分的代码放在并行的sections中,这样可以同时对两个子数组进行排序。最后,使用递归的方式对子数组进行快速排序。在主函数中,我们给出了一个示例数组,并对其进行排序。
请注意,要运行此代码,您的编译器必须支持OpenMP并行编程。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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