This repository contains a collection of basic codes demonstrating the use of MPI (Message Passing Interface) for parallel programming. MPI is a widely-used standard for message-passing libraries that allows developers to write parallel applications for distributed-memory systems.
MPI is a powerful tool for writing parallel programs, especially for high-performance computing and distributed systems. This repository provides simple MPI code examples to help users get started with parallel programming using MPI.
Before running the MPI codes in this repository, you'll need the following:
- A working MPI installation on your system. You can download MPI from mpich.org or open-mpi.org.
- A C/C++ compiler (e.g., GCC) compatible with your MPI installation.
Follow these steps to compile and run the MPI codes in this repository:
- Clone this repository to your local machine:
git clone https://github.com/Binary-Beast03/MPI-Codes.git
cd MPI-Codes.git - Compile the MPI code using the MPI compiler wrapper (e.g.,
mpicc):
mpicc -o mpi_example mpi_example.c - Run the compiled executable using the MPI launcher (e.g.,
mpirunormpiexec):
mpirun -np <num_processes> ./mpi_example
Replace<num_processes>with the number of processes (e.g., 4) you want to use in the MPI program.
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Hello World: A simple MPI program that prints "Hello, World!" from each process.
-
Pi: Calculate an approximation of pi using the Monte Carlo method with MPI.
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Matrix Multiplication: Perform matrix multiplication in parallel using MPI.
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Merge Sorting Parallel: Implement parallel sorting algorithm with MPI.
Contributions to this repository are welcome! If you have any MPI code examples you'd like to add or find any issues that need fixing, feel free to submit a pull request. Please ensure your code is well-documented and follows the repository's coding conventions.
This repository is licensed under the MIT License. You can find more information in the License file.