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Parallel processing in R isrequired for data intensive jobs. It is well possible to run a number of scripts using MPI. MPI allows parallel processing in separate machines by sharing in memory data across the processes that run on the separate individual processors, by passing messages.

What is MPI?

****Message Passing Interface - MPI

• A standard message-passing library definition
• • developed in 1993 by a group of parallel computer vendors, computer scientists, and applications developers.
• Bindings for C, C++, Fortran 77/90/95.
• Available on a wide variety of architectures
• • Super computers
• • Clusters
• • Desktop computers
• Distributed Memory Paradigm
• • All inter-task communication is by message passing.
• All parallelism is explicit
• • programmer is responsible for parallelism and implements it with MPI constructs.

The standard hello world program in MPI: #include <mpi.h> int main (int argc, char **argv) { MPI_Init (&argc, &argv); printf (“Hello World!\n”); MPI_Finalize(); return EXIT_SUCCESS; }