具有加速功能的示例 openmp 程序
A sample openmp program with speedup
有人可以提供一个 OpenMP 程序,与没有它相比,加速是可见的。我发现实现加速非常困难。即使是这个简单的程序在 OpenMP 下运行速度也会变慢。我的处理器是 Intel® Core™ i3-2370M CPU @ 2.40GHz × 4 运行 on Linux (Ubuntu 14.10)
#include <cmath>
#include <stdio.h>
#include <time.h>
int main() {
clock_t t;
t = clock();
const int size = 4;
long long int k;
#pragma omp parallel for num_threads(4)
for(int n=0; n<size; ++n) {
for(int j=0;j<100000000;j++){
}
printf("\n");
}
t = clock() - t;
printf ("It took me %d clicks (%f seconds).\n",t,((float)t)/CLOCKS_PER_SEC);
return 0;
}
计算积分是经典的,调整零件常数增加执行时间,看得更清楚runtime,零件越多,执行时间越多。在启用 OpenMP 的情况下获得 21.3 秒,在单核双线程 Intel pentium 4 上获得 26.7 秒:
#include <math.h>
#include <stdio.h>
#include <omp.h>
#define from 0.0f
#define to 2.0f
#define parts 999999999
#define step ((to - from) / parts)
#define x (from + (step / 2.0f))
int main()
{
double integralSum = 0;
int i;
#pragma omp parallel for reduction(+:integralSum)
for (i = 1; i < (parts+1); ++i)
{
integralSum = integralSum + (step * fabs(pow((x + (step * i)),2) + 4));
}
printf("%f\n", integralSum);
return 0;
}
计算x^2 + 4从0到2的定积分
我遇到了与此相关的问题,我想在其中找到数组的最大值。我犯了和你一样的错误,我用时钟来测量经过的时间。为了解决这个问题,我改用了 clock_gettime(),现在可以了。
关于可测量加速比的示例代码(请注意,您可能想要更改 N 的值):
#include <omp.h>
#include <stdlib.h>
#include <stdio.h>
#include <unistd.h>
#include <time.h>
struct timespec diff(struct timespec start, struct timespec end)
{
struct timespec temp;
if(end.tv_sec - start.tv_sec == 0)
{
temp.tv_nsec = end.tv_nsec - start.tv_nsec;
}
else
{
temp.tv_nsec = ((end.tv_sec - start.tv_sec)*1000000000) + end.tv_nsec - start.tv_nsec;
}
return temp;
}
int main()
{
unsigned int N;
struct timespec t_start, t_end;
clock_t start, end;
srand(time(NULL));
FILE *f = fopen("out.txt", "w");
if(f == NULL)
{
printf("Could not open output\n");
return -1;
}
for(N = 1000000; N < 100000000; N += 1000000)
{
fprintf(f, "%d\t", N);
int* array = (int*)malloc(sizeof(int)*N);
if(array == NULL)
{
printf("Not enough space\n");
return -1;
}
for(unsigned int i = 0; i<N; i++) array[i] = rand();
int max_val = 0.0;
clock_gettime(CLOCK_MONOTONIC, &t_start);
#pragma omp parallel for reduction(max:max_val)
for(unsigned int i=0; i<N; i++)
{
if(array[i] > max_val) max_val = array[i];
}
clock_gettime(CLOCK_MONOTONIC, &t_end);
fprintf(f, "%lf\t", (double)(diff(t_start, t_end).tv_nsec / 1000000000.0));
max_val = 0.0;
clock_gettime(CLOCK_MONOTONIC, &t_start);
for(unsigned int i = 0; i<N; i++)
{
if(array[i] > max_val) max_val = array[i];
}
clock_gettime(CLOCK_MONOTONIC, &t_end);
fprintf(f, "%lf\n", (double)(diff(t_start, t_end).tv_nsec / 1000000000.0));
free(array);
}
fclose(f);
return 0;
}
有人可以提供一个 OpenMP 程序,与没有它相比,加速是可见的。我发现实现加速非常困难。即使是这个简单的程序在 OpenMP 下运行速度也会变慢。我的处理器是 Intel® Core™ i3-2370M CPU @ 2.40GHz × 4 运行 on Linux (Ubuntu 14.10)
#include <cmath>
#include <stdio.h>
#include <time.h>
int main() {
clock_t t;
t = clock();
const int size = 4;
long long int k;
#pragma omp parallel for num_threads(4)
for(int n=0; n<size; ++n) {
for(int j=0;j<100000000;j++){
}
printf("\n");
}
t = clock() - t;
printf ("It took me %d clicks (%f seconds).\n",t,((float)t)/CLOCKS_PER_SEC);
return 0;
}
计算积分是经典的,调整零件常数增加执行时间,看得更清楚runtime,零件越多,执行时间越多。在启用 OpenMP 的情况下获得 21.3 秒,在单核双线程 Intel pentium 4 上获得 26.7 秒:
#include <math.h>
#include <stdio.h>
#include <omp.h>
#define from 0.0f
#define to 2.0f
#define parts 999999999
#define step ((to - from) / parts)
#define x (from + (step / 2.0f))
int main()
{
double integralSum = 0;
int i;
#pragma omp parallel for reduction(+:integralSum)
for (i = 1; i < (parts+1); ++i)
{
integralSum = integralSum + (step * fabs(pow((x + (step * i)),2) + 4));
}
printf("%f\n", integralSum);
return 0;
}
计算x^2 + 4从0到2的定积分
我遇到了与此相关的问题,我想在其中找到数组的最大值。我犯了和你一样的错误,我用时钟来测量经过的时间。为了解决这个问题,我改用了 clock_gettime(),现在可以了。
关于可测量加速比的示例代码(请注意,您可能想要更改 N 的值):
#include <omp.h>
#include <stdlib.h>
#include <stdio.h>
#include <unistd.h>
#include <time.h>
struct timespec diff(struct timespec start, struct timespec end)
{
struct timespec temp;
if(end.tv_sec - start.tv_sec == 0)
{
temp.tv_nsec = end.tv_nsec - start.tv_nsec;
}
else
{
temp.tv_nsec = ((end.tv_sec - start.tv_sec)*1000000000) + end.tv_nsec - start.tv_nsec;
}
return temp;
}
int main()
{
unsigned int N;
struct timespec t_start, t_end;
clock_t start, end;
srand(time(NULL));
FILE *f = fopen("out.txt", "w");
if(f == NULL)
{
printf("Could not open output\n");
return -1;
}
for(N = 1000000; N < 100000000; N += 1000000)
{
fprintf(f, "%d\t", N);
int* array = (int*)malloc(sizeof(int)*N);
if(array == NULL)
{
printf("Not enough space\n");
return -1;
}
for(unsigned int i = 0; i<N; i++) array[i] = rand();
int max_val = 0.0;
clock_gettime(CLOCK_MONOTONIC, &t_start);
#pragma omp parallel for reduction(max:max_val)
for(unsigned int i=0; i<N; i++)
{
if(array[i] > max_val) max_val = array[i];
}
clock_gettime(CLOCK_MONOTONIC, &t_end);
fprintf(f, "%lf\t", (double)(diff(t_start, t_end).tv_nsec / 1000000000.0));
max_val = 0.0;
clock_gettime(CLOCK_MONOTONIC, &t_start);
for(unsigned int i = 0; i<N; i++)
{
if(array[i] > max_val) max_val = array[i];
}
clock_gettime(CLOCK_MONOTONIC, &t_end);
fprintf(f, "%lf\n", (double)(diff(t_start, t_end).tv_nsec / 1000000000.0));
free(array);
}
fclose(f);
return 0;
}