Xtykutl

I'm having problems parallelising the calling of a member function in a for loop. I only want to parallelise the iteration of objects, not the iteration of vectors within the called function.

This is how i call the parallel section, where particle_vector is a vector of objects and build_state_pylist() is a member function. state_vec and state_pylist are both object members.

#pragma omp parallel for

for (int i=0; i < n_sims; ++i) {

    particle_vector[i].build_state_pylist();

}

build_state_pylist() iterates through values of state_vec, which is a std::vector of vectors. The contained values and appending them to state_pylist, a boost::python::list, which is a member of the object.

void Particle::build_state_pylist() {

for (auto sim_iter = state_vec.begin(); sim_iter != state_vec.end(); ++sim_iter) {

    auto sim_vec = *sim_iter;

    for (auto vec_iter= sim_vec.begin(); vec_iter!= sim_vec.end(); ++vec_iter) {

        this->state_pylist.append(*vec_iter);

    }

}

}

Since the each loop iteration is only accessing memory contained within each object I didn't think parallelising this section would be a problem. But I get this error:

double free or corruption (!prev)

and

(core dumped)

The loop works without parallelisation. Any help would be greatly appreciated!