And while MPI was designed for multi nodes, I’ve found that in many cases where a code base supports both MPI and openMP (shared memory with multiple threads in

And while MPI was designed for multi nodes, I’ve found that in many cases where a code base supports both MPI and openMP (shared memory with multiple threads in one process), the MPI version runs faster because each single threaded process knows that it owns it’s memory and there’s no need for synchronization. Being explicit about the data being passed around while defaulting to “not shared” has benefits for making use of all your cores more efficiently.