MPI in Thirty Minutes
Learn how to obtain, build, and use an MPI stack for Linux machines. This tutorial will take you from “hello world” to parallel matrix multiplication in a matter of minutes.
Thursday, April 17th, 2008
OpenMP has several strong points: it is a very simple system to use and it is widely available in compilers for most major platforms. There are however, other methods to express parallelism in your code. On distributed parallel systems, like Linux clusters, the Message Passing Interface (MPI) is widely used. MPI is not a programming language, but rather a standard library that is used to send messages between multiple processes. These processes can be located on the same system (a single multi-core SMP system) or on a collection of distributed servers. Unlike OpenMP, the distributed nature of MPI allows it to work on almost any parallel environment.
On a multi-core system a single shared address space is the basis for a shared memory programming model. OpenMP makes relatively easy work of this environment. Sharing nothing between “threads”, or independent processes running on possibly independent machines, is typically called a shared…
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