C OpenMP 병렬 For 루프에서 std::Vector의 대안은 무엇입니까?

// Custom reduction
#pragma omp declare reduction (merge: std::vector<int>: omp_out.insert(omp_out.end(), omp_in.begin(), omp_in.end())

std::vector<int> vec;
#pragma omp parallel for reduction(merge: vec)
for (int i = 0; i < 100; i++) vec.push_back(i);

// Static scheduling with ordered sections
std::vector<int> vec;
#pragma omp parallel
{
    int ithread = omp_get_thread_num();
    int nthreads = omp_get_num_threads();
    #pragma omp single
    {
        prefix = new size_t[nthreads + 1];
        prefix[0] = 0;
    }
    std::vector<int> vec_private;
    #pragma omp for schedule(static) nowait
    for (int i = 0; i < 100; i++) {
        vec_private.push_back(i);
    }
    prefix[ithread + 1] = vec_private.size();
    #pragma omp barrier
    #pragma omp single
    {
        for (int i = 1; i < (nthreads + 1); i++)
            prefix[i] += prefix[i - 1];
        vec.resize(vec.size() + prefix[nthreads]);
    }
    std::copy(vec_private.begin(), vec_private.end(), vec.begin() + prefix[ithread]);
}
delete[] prefix;