MPI is simply a standard which others follow in their implementation. Because of this, there are a wide variety of MPI implementations out there. One of the most popular implementations, MPICH2, will be used for all of the examples provided through this site. Users are free to use any implementation they wish, but only instructions for installing MPICH2 will be provided. Furthermore, the scripts and code provided for the lessons are only guaranteed to execute and run with the lastest version of MPICH2.
MPICH2 is a widely-used implementation of MPI that is developed primarily by Argonne National Laboratory in the United States. The main reason for choosing MPICH2 over other implementations is simply because of my familiarity with the interface and because of my close relationship with Argonne National Laboratory. I also encourage others to check out OpenMPI, which is also a widely-used implementation.
The latest version of MPICH2 is available here. The version that I will be using for all of the examples on the site is 1.4, which was released June 16, 2011. Go ahead and download the source code, uncompress the folder, and change into the MPICH2 directory.
Once doing this, you should be able to configure your installation by performing
./configure. I added a couple of parameters to my configuration to avoid building the MPI Fortran library. If you need to install MPICH2 to a local directory (for example, if you don’t have root access to your machine), type
./configure --prefix=/installation/directory/path For more information about possible configuration parameters, type
When configuration is done, it should say “Configuration completed.” Once this is through, it is time to build and install MPICH2 with
make; sudo make install.
If your build was successful, you should be able to type
mpich2version and see something similar to this.
Hopefully your build finished successfully. If not, you may have issues with missing dependencies. For any issue, I highly recommend copying and pasting the error message directly into Google.
Now that you have built MPICH2 locally, you have a couple options of where you can proceed on this site. If you don’t have access to a cluster or want to learn more about building a virtual MPI cluster, check out the lesson about building and running your own cluster on Amazon EC2. If you already have your own cluster or simply want to run the rest of the lessons from your machine, proceed to the MPI hello world lesson, which provides an overview of the basics of programming and running your first MPI program.