Parallel for_each using openmp

Why does this code not parallelize 开发者_StackOverflow中文版std::for_each() when it works perfectly fine with std::sort()?

How do I fix it?

g++ -fopenmp -D_GLIBCXX_PARALLEL=1 -o p p.cc && time ./p  sort

GCC 4.3 on Linux.

#include <cstdio>
#include <algorithm>
#include <vector>
#include <cstring>

void delay()
{
        for(int c = 0; c < 1000000; c++) {
    }
}

int lt(int a, int b)
{
        delay();
        return a < b;
}

void noop(int a)
{
    delay();
}

int main(int argc, char **argv)
{
        if (argc < 2) {
                printf("%s  <sort | for_each>\n", argv[0]);
                return 1;
    }

        std::vector<int> foo(10000);

        if (!strcmp(argv[1], "sort")) {
        std::sort(foo.begin(), foo.end(), lt);
    } else if (!strcmp(argv[1], "for_each")) {
                std::for_each(foo.begin(), foo.end(), noop);
    }
}

Just compiling with -D_GLIBCXX_PARALLEL does not necessarily parallelize all algorithms (see here):

Please note that this doesn't necessarily mean that everything will end up being executed in a parallel manner, but rather that the heuristics and settings coded into the parallel versions will be used to determine if all, some, or no algorithms will be executed using parallel variants.

However the Configuration and tuning Chapter might help you to force parallelization.

Just a note to your "Benchmark": std::sort and std::for_each won't necessarily call delay() the same number of times. std::for_each calls the delay method for N times, std::sort calls it for something between N log(N) and N^2 times (see reference). Thus measuring the execution time gives you only a weak indication about parallelization.