I’ve written some MPI code which works flawlessly on large clusters. Each node in the cluster has the same cpu architecture and has access to a networked (i.e. ‘common’) file system (so that each node can excecute the actual binary). But consider this scenario:
- I have a machine in my office with a dual core processor (intel).
- I have a machine at home with a dual core processor (amd).
Both machines run linux, and both machines can successfully compile and run the MPI code locally (i.e. using 2 cores).
Now, is it possible to link the two machines together via MPI, so that I can utilise all 4 cores, bearing in mind the different architectures, and bearing in mind the fact that there are no shared (networked) filesystems?
If so, how?
Thanks,
Ben.
Its possible to do this. Most MPI implementations allow you to specify the location of the binary to be run on different machines. Alternatively, make sure that it is in your path on both machines. Since both machines have the same byte order, that shouldn’t be a problem. You will have to make sure that any input data that the individual processes read is available in both locations.
There are lots of complications with doing this. You need to make sure that the firewalls between the systems will allow process startup and communication. Communication between the machines is going to be much slower, so if you code is communication heavy or latency intolerant, it probably will be quite slow. Most likely your execution time running on all 4 cores will be longer than just running with 2 on a single machine.