当我更改快速短功能代码时,例如输出始终为0,程序进入case0更改quicksortarr'值变为0这是okey但是当其他情况(“case1”)启动shellSortarr更改时quicksortarr也会更改并变为与(shellsortarr)相同,因此我不会比较这个数组。 我想我的错误指针。
我的第二个问题(不太重要)是我想要omp函数使用%100 CPU我发现这个代码但是我想,这只是在循环之前工作
#pragma omp parallel for schedule(dynamic)
omp_get_wtime();
你有建议吗
double sort(int *(*func)(int*, int), int *a, int len,int i) {
time_t end, begin;
int *b = malloc(len * sizeof *b);
if (!b) { perror("sort: malloc"); return 0; }
memcpy(b, a, len * sizeof b[0]);
//for example b = 10,3,15,6,123
int *selectionSortarr;
int *quicksortarr;
switch( k%2 ) {
case 0:
begin = clock();
//b = 10,3,15,6,123
quicksortarr = func(b, len);
//for example func(quicksort) is wrong and quicksortarr become 0,0,0,0,0
end = clock();
k++;
break;
case 1:
begin = clock();
//b is again b = 10,3,15,6,123
shellSortarr = func(b, len);
// after that shellsortarr and quicksortarr become 3,6,10,15,123
//therefore compare function is print "File's sorted arrays are equal"
end = clock();
compare(quicksortarr,shellSortarr,len,i);
k=0;
break;
}
free(b);
return (double)(end - begin) / CLOCKS_PER_SEC;
}
。我这样调用函数:
while (fscanf(f, "%d", &input) == 1) a[len++] = input;
quick[i] = sort(quickSort, a, len,i);
shell[i] = sort(shellSort, a, len,i);
。我的排序功能如下:
int *shellSort(int x3[], int n){
//sorting code
return x3;
}
。我比较这样的函数:
void compare(int *arr1,int *arr2,int len,int y) {
int i=0;
int check=0;
for (i=0; i<len; i++){
if (arr1[i] != arr2[i])
check++;
break;
}
if (check !=0) printf("%i . File's sorted arrays are not equal difference start at %i . variable in array\n",y,i);
else printf("%i. File's sorted arrays are equal\n",y);
}
答案 0 :(得分:1)
你需要额外的空间用于quicksortarr和shellSortarr
double sort(void (*func)(int*, int), int *a, int len,int i) {
time_t end, begin;
int *b = malloc(len * sizeof *b);
if (!b) { perror("sort: malloc"); return 0; }
memcpy(b, a, len * sizeof b[0]);
switch( k%2 ) {
case 0:
begin = clock();
func(b, len);
end = clock();
int *quicksortarr = malloc(len * sizeof *quicksortarr);
if (!quicksortarr) { perror("sort: malloc"); return 0; }
memcpy(quicksortarr, b, len * sizeof quicksortarr[0]);
k++;
break;
case 1:
begin = clock();
func(b, len);
int *shellSortarr = malloc(len * sizeof *shellSortarr);
if (!shellSortarr) { perror("sort: malloc"); return 0; }
memcpy(shellSortarr, b, len * sizeof shellSortarr[0]);
end = clock();
k++;
break;
compare(quicksortarr,shellSortarr,len,i);
k=0;
break;
}
free(b);
return (double)(end - begin) / CLOCKS_PER_SEC;
}
你不再需要返回了;
void shellSort(int x3[], int n){
//sorting code
}
#pragma omp parallel for schedule(dynamic)
如果你的排序代码使用,你只能使用for循环来添加<omp.h>
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