[section:threading Threads] There are an increasing number of hybrid parallel applications that mix distributed and shared memory parallelism. To know how to support that model, one need to know what level of threading support is guaranteed by the MPI implementation. There are 4 ordered level of possible threading support described by [enumref boost::mpi::threading::level mpi::threading::level]. At the lowest level, you should not use threads at all, at the highest level, any thread can perform MPI call. If you want to use multi-threading in your MPI application, you should indicate in the environment constructor your preferred threading support. Then probe the one the library did provide, and decide what you can do with it (it could be nothing, then aborting is a valid option): #include #include #include namespace mpi = boost::mpi; namespace mt = mpi::threading; int main() { mpi::environment env(mt::funneled); if (env.thread_level() < mt::funneled) { env.abort(-1); } mpi::communicator world; std::cout << "I am process " << world.rank() << " of " << world.size() << "." << std::endl; return 0; } [endsect:threading]