【发布时间】:2019-08-01 05:04:48
【问题描述】:
我正在使用来自Why is writing to memory much slower than reading it? 的“读取”基准,我只添加了两行:
#pragma omp parallel for
for(unsigned dummy = 0; dummy < 1; ++dummy)
它们应该没有效果,因为OpenMP should only parallelize the outer loop,但现在代码运行速度始终快两倍。
更新:这些行甚至不是必需的。只需添加
omp_get_num_threads();
(隐式声明)在同一个地方有同样的效果。
完整代码:
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
unsigned long do_xor(const unsigned long* p, unsigned long n)
{
unsigned long i, x = 0;
for(i = 0; i < n; ++i)
x ^= p[i];
return x;
}
int main()
{
unsigned long n, r, i;
unsigned long *p;
clock_t c0, c1;
double elapsed;
n = 1000 * 1000 * 1000; /* GB */
r = 100; /* repeat */
p = calloc(n/sizeof(unsigned long), sizeof(unsigned long));
c0 = clock();
#pragma omp parallel for
for(unsigned dummy = 0; dummy < 1; ++dummy)
for(i = 0; i < r; ++i) {
p[0] = do_xor(p, n / sizeof(unsigned long)); /* "use" the result */
printf("%4ld/%4ld\r", i, r);
fflush(stdout);
}
c1 = clock();
elapsed = (c1 - c0) / (double)CLOCKS_PER_SEC;
printf("Bandwidth = %6.3f GB/s (Giga = 10^9)\n", (double)n * r / elapsed / 1e9);
free(p);
}
用
编译和执行gcc -O3 -Wall -fopenmp single_iteration.c && time taskset -c 0 ./a.out
time 报告的挂墙时间是 3.4s vs 7.5s。
GCC 7.3.0 (Ubuntu)
【问题讨论】:
-
我可以复制。它不是优化或
clock的问题。不过,我建议您可以通过测量墙上时间并添加实际测量结果以及您的 CPU 和内存规格来改进问题。
标签: c performance gcc memory openmp