Point-to-Point Communication in MPI

MPI (Message Passing Interface) is a standardized and widely used communication protocol for parallel computing. It allows processes running on different nodes of a parallel system to communicate with each other. MPI is available in several programming languages, including C, C++, and Python, among others. In this tutorial, we’ll focus on using MPI in Python, specifically with the mpi4py library.

Availability of MPI

MPI is available in multiple programming languages, making it accessible to a wide range of developers. Here’s a brief overview of its availability:

• C: MPI is commonly used in C programming for high-performance computing applications. Libraries such as Open MPI and MPICH provide implementations of MPI for C.
• C++: C++ developers can also utilize MPI for parallel programming. MPI bindings for C++ are available, allowing seamless integration with existing C++ codebases.
• Python: MPI is accessible in Python through the mpi4py library. mpi4py provides Python bindings for MPI, enabling developers to write parallel programs in Python and leverage the power of MPI for distributed computing.

Simple MPI Program in Python

Now, let’s dive into a simple MPI program written in Python using mpi4py. This…