Please note: The FAQ pages at the HPCVL website are continuously being revised. Some pages might pertain to an older configuration of the system. Please let us know if you encounter problems or inaccuracies, and we will correct the entries.
A very simple example of how to parallelize code with MPI is given in the monte.f Fortran program.
Only a few MPI commands are necessary to parallelize this Monte-Carlo calculation of pi. The first
sets up the MPI system and has to be called in any MPI program. The next two
call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr)
call MPI_COMM_SIZE(MPI_COMM_WORLD, np, ierr)
are used to determine the "rank", i.e. number of the presently running process, and the total number of processes running (size). The identifier MPI_COMM_WORLD is used to label a group of processes assigned to this task, called a "communicator". With
the partial sums (pi) from the different processes are summed up (reduced) into the total (pisum). This is done simultaneously with the gathering of the results from the processes, and is called "reduction". Finally,
closes the MPI system.
To get an idea of how to use MPIand what the various routines do, check out the MPI workshop at the Maui HPC Centre site. For a list of routines in the MPIstandard, and a reference manual of their usage, go to the Sun Documentation Website and search for theSun MPI Programming and Reference Guide .
We offer a separate MPI FAQ with more information about this system.
Although the MPI standard comprises hundreds of routines, you can write very stable and scalable code with only a dozen or so routines. In fact, often the simpler you keep it the better it will work.